Efectos de tres distintos aportes alimenticios restringidos como inductores de la muda en gallinas ponedoras, sobre la pérdida de peso vivo, la regresión de ovario y oviducto y los resultados productivos

La producción de huevos disminuye a medida que las ponedoras envejecen. Un método para contrarrestar, al menos parcialmente, esta evolución natural del rendimiento productivo es la muda inducida. El rendimiento productivo de las gallinas tras la muda se debe a un proceso de rejuvenecimiento fisiológico de las aves, relacionado con la regresión del ovario y del oviducto durante la muda, siendo la pérdida de peso corporal decisiva para la regresión de estos órganos (Brake y Thaxton , 1979). En este trabajo estudiamos los efectos de 3 dietas distintas, utilizadas para inducir la muda (salvado de trigo, cebada y pienso comercial suministrado de forma restringida), sobre la pérdida de peso vivo, sobre la regresión del ovario y del oviducto, y sobre los rendimientos productivos posteriores, en gallinas ponedoras de 2 estirpes comerciales, alojadas con dos densidades diferentes (4 y 6 gallinas, por jaula). Se trabajó con 120 gallinas de cada estirpe, sacrificándose 36 animales (18+18) para poder evaluar la regresión del ovario-oviducto. La menor pérdida de peso se produjo con el salvado y con la cebada, aunque la intensidad de puesta (IP), en las 6 primeras semanas postmuda no varió entre tratamientos, excepto en gallinas ligeras mudadas con salvado de trigo, que alcanzaron una IP significativamente menor . Tampoco tuvo efecto significativo el número de gallinas por jaula sobre la IP, ni sobre la pérdida de peso.

Diseño y aplicación de una metodología prospectiva para la determinación de los condicionantes futuros del crecimiento de los grandes buques portacontenedores

Durante las últimas décadas se observa una tendencia sostenida al crecimiento en las dimensiones de los grandes buques portacontenedores, que produce, que las infraestructuras portuarias y otras destinadas al tráfico de contenedores deban adaptarse para poder brindar los servicios correspondientes y mantenerse competitivas con otras para no perder el mercado. Esta situación implica importantes inversiones y modificaciones en los sistemas de transporte de contenedores por el gran volumen de carga que se debe mover en un corto periodo de tiempo, lo que genera la necesidad de tomar previsiones relacionadas con la probable evolución a futuro de las dimensiones que alcanzarán los grandes buques portacontenedores. En relación a los aspectos citados surge la inquietud de determinar los condicionantes futuros del crecimiento de los grandes buques portacontenedores, con una visión totalizadora de todos los factores que incidirán en los próximos años, ya sea como un freno o un impulso a la tendencia que se verifica en el pasado y en el presente. En consideración a que el tema a tratar y resolver se encuentra en el futuro, con un horizonte de predicción de veinte años, se diseña y se aplica una metodología prospectiva, que permite alcanzar conclusiones con mayor grado de objetividad sobre probables escenarios futuros. La metodología prospectiva diseñada, conjuga distintas herramientas metodológicas, cualitativas, semi-cuantitativas y cuantitativas que se validan entre sí. Sobre la base del pasado y el presente, las herramientas cuantitativas permiten encontrar relaciones entre variables y hacer proyecciones, sin embargo, estas metodologías pierden validez más allá de los tres a cuatro años, por los vertiginosos y dinámicos cambios que se producen actualmente, en las áreas política, social y económica. Las metodologías semi-cuantitativas y cualitativas, empleadas en forma conjunta e integradas, permiten el análisis de circunstancias del pasado y del presente, obteniendo resultados cuantitativos que se pueden proyectar hacia un futuro cercano, los que integrados en estudios cualitativos proporcionan resultados a largo plazo, facilitando considerar variables cualitativas como la creciente preocupación por la preservación del medio ambiente y la piratería. La presente tesis, tiene como objetivo principal “identificar los condicionantes futuros del crecimiento de los grandes buques portacontenedores y determinar sus escenarios”. Para lo cual, la misma se estructura en fases consecutivas y que se retroalimentan continuamente. Las tres primeras fases son un enfoque sobre el pasado y el presente, que establece el problema a resolver. Se estudian los antecedentes y el estado del conocimiento en relación a los factores y circunstancias que motivaron y facilitaron la tendencia al crecimiento de los grandes buques. También se estudia el estado del conocimiento de las metodologías para predecir el futuro y se diseña de una metodología prospectiva. La cuarta fase, denominada Resultados, se desarrolla en distintas etapas, fundamentadas en las fases anteriores, con el fin de resolver el problema dando respuestas a las preguntas que se formularon para alcanzar el objetivo fijado. En el proceso de esta fase, con el objeto de predecir probables futuros, se aplica la metodología prospectiva diseñada, que contempla el análisis del pasado y el presente, que determina los factores cuya influencia provocó el crecimiento en dimensiones de los grandes buques hasta la actualidad, y que constituye la base para emplear los métodos prospectivos que permiten determinar qué factores condicionarán en el futuro la evolución de los grandes buques. El probable escenario futuro formado por los factores determinados por el criterio experto, es validado mediante un modelo cuantitativo dinámico, que además de obtener el probable escenario futuro basado en las tendencias de comportamiento hasta el presente de los factores determinantes considerados, permite estudiar distintos probables escenarios futuros en función de considerar un cambio en la tendencia futura de los factores determinantes. El análisis del pasado indica que la tendencia al crecimiento de los grandes buques portacontenedores hasta el presente, se ha motivado por un crecimiento económico mundial que se tradujo en un aumento del comercio internacional, particularmente entre los países de Asia, con Europa y Estados Unidos. Esta tendencia se ha visto favorecida por el factor globalización y la acelerada evolución tecnológica que ha permitido superar los obstáculos que se presentaron. Es de destacar que aún en periodos de crisis económicas, con pronósticos de contracciones en el comercio, en los últimos años continuó la tendencia al crecimiento en dimensiones, en busca de una economía de escala para el transporte marítimo de contenedores, en las rutas transoceánicas. La investigación de la evolución de los grandes buques portacontenedores en el futuro, se efectúa mediante el empleo de una metodología prospectiva en la que el criterio experto se valida con un método cuantitativo dinámico, y además se fundamenta en una solida base pre-prospectiva. La metodología diseñada permite evaluar con un alto grado de objetividad cuales serán los condicionantes que incidirán en el crecimiento en tamaño de los grandes buques portacontenedores en el escenario con mayor probabilidad de acontecer en los próximos veinte años (2032), y también en otros escenarios que podrían presentarse en el caso de que los factores modifiquen su tendencia o bien se produzcan hechos aleatorios. El resultado se sintetiza en que la tendencia al crecimiento de los grandes buques portacontenedores en los próximos 20 años se verá condicionada por factores en relación a los conceptos de oferta (los que facilitan u obstaculizan la tendencia), demanda (los que motivan o impulsan la tendencia) y factores externos (los que desestabilizan el equilibrio entre oferta y demanda). La tendencia al crecimiento de los grandes buques portacontenedores se verá obstaculizada / limitada principalmente por factores relacionados a las infraestructuras, resultando los pasos y/o canales vinculados a las rutas marítimas, los limitantes futuros al crecimiento en dimensiones de los grandes buques portacontenedores; y la interacción buque / infraestructura (grúas) un factor que tenderá a obstaculizar esta tendencia de los grandes portacontenedores. El desarrollo económico mundial que estimula el comercio internacional y los factores precio del petróleo y condicionantes medioambientales impulsarán la tendencia al crecimiento de los grandes buques portacontenedores. Recent years have seen a sustained tendency towards the growth in the dimensions of large container ships. This has meant that port and other infrastructure used for container traffic has had to be adapted in order to provide the required services and to maintain a competitive position, so as not to lose market share. This situation implies the need for major investments in modifications to the container transport system, on account of the large volume of traffic to be handled in a short period of time. This in turn has generated a need to make provision for the probable future evolution of the ultimate dimensions that will be reached by large container ships. Such considerations give rise to the question of what are the future determinants for the growth of large container ships, requiring an overall vision of all the factors that will apply in future years, whether as a brake on or an incentive to the growth tendency which has been seen in the past and present In view of the fact that the theme to be dealt with and resolved relates to the future, with a forecasting horizon of some 20 years, a foresight methodology has been designed and applied so as to enable conclusions about probable future scenarios to be reached with a greater degree of objectivity. The designed methodology contains different methodological tools, both qualitative, semi-quantitative and quantitative, which are internally consistent. On the basis of past and present observations, the quantitative elements enable relationships to be established and forecasts to be made. Nevertheless such an approach loses validity more than three or four years into the future, on account of the very rapid and dynamic changes which may be seen at present in political, social and economic spheres. The semi-quantitative and qualitative methodologies are used coherently together and allow the analysis of past and present conditions, thus obtaining quantitative results which for short-term projections, which when integrated with the qualitative studies provide results for the long-term, facilitating the consideration of qualitative variables such as the increasing importance of environmental protection and the impact of piracy. The principal objective of the present thesis is "to identify the future conditions affecting the growth of large container ships and to determine possible scenarios". The thesis is structured in consecutive and related phases. The first three phases focus on the past and present in order to determine the problem to be resolved. The background is studied in order to establish the state of knowledge about the factors and circumstances which have motivated and facilitated the growth tendency for large container ships and the methodologies that have been used. In this way a specific foresight methodology is designed. The fourth phase, Results, is developed in distinct stages based on the previous phases, so as to resolve the problem posed and responding to the questions that arise. In this way the determined objective is reached. The fourth phase sees the application of the methodology that has been designed in order to predict posible futures. This includes analysis of the past and present factors which have caused the growth in the dimensions of large container ships up to the present. These provide the basis on which to apply the foresight methods which enable the future factors which will condition the development of such large container ships. The probable future scenarios are made up of the factors identified by expert judgement (using the Delphi technique) and validated by means of a dynamic quantitative model. This model both identifies the probable future scenarios based on past and present factors and enables the different future scenarios to be analysed as a function of future changes in the conditioning factors. Analysis of the past shows that the growth tendency up to the present for large container ships has been motivated by the growth of the world economy and the consequent increased international trade, especially between the countries of Asia with Europe and the United States. This tendency has been favoured by the trend towards globalization and by the rapid technical evolution in ship design, which has allowed the obstacles encountered to be overcome. It should be noted that even in periods of economic crisis, with an expectation for reduced trade, as experienced in recent years, the tendency towards increased ship dimensions has continued in search of economies of scale for the maritime transport of containers on transoceanic routes. The present investigation of the future evolution of large container ships has been done using a foresight methodology in which the expert judgement is validated by a dynamic quantitative methodology, founded on a firm pre-foresight analysis. The methodology that has been designed permits the evaluation, with a high degree of objectivity, of the future factors that will affect the growth of large container ships for the most probable scenario expected in the next 20 years (up to 2032). The evaluation applies also to other scenarios which may arise, in the event that their component factors are modified or indeed in the light of random events. In summary, the conclusión is that the tendency for growth in large container ships in the future 20 years will be determined by: factors related to supply, which slow or halt the tendency; factors related to demand, which encourage the tendency and finally, external factors which interrupt the equilibrium between supply and demand. The tendency for increasing growth in large container ships will be limited or even halted by factors related to infrastructure, including the natural and man-made straits and canals used by maritime transport. In addition the infrastructure required to serve such vessels both in port (including cranes and other equipment) and related transport, will tend to slow the growth tendency. The factors which will continue to encourage the tendency towards the growth of large container ships include world economic development, which stimulates international trade, and an increasing emphasis on environmental aspects.

Comparing fuzzy and intelligent PI controllers in stop-and-go manoeuvres

The aim of this work was twofold: on the one hand, to describe a comparative study of two intelligent control techniques-fuzzy and intelligent proportional-integral (PI) control, and on the other, to try to provide an answer to an as yet unsolved topic in the automotive sector-stop-and-go control in urban environments at very low speeds. Commercial vehicles exhibit nonlinear behavior and therefore constitute an excellent platform on which to check the controllers. This paper describes the design, tuning, and evaluation of the controllers performing actions on the longitudinal control of a car-the throttle and brake pedals-to accomplish stop-and-go manoeuvres. They are tested in two steps. First, a simulation model is used to design and tune the controllers, and second, these controllers are implemented in the commercial vehicle-which has automatic driving capabilities-to check their behavior. A stop-and-go manoeuvre is implemented with the two control techniques using two cooperating vehicles.

Intelligent automatic overtaking system using vision for vehicle detection

There is clear evidence that investment in intelligent transportation system technologies brings major social and economic benefits. Technological advances in the area of automatic systems in particular are becoming vital for the reduction of road deaths. We here describe our approach to automation of one the riskiest autonomous manœuvres involving vehicles – overtaking. The approach is based on a stereo vision system responsible for detecting any preceding vehicle and triggering the autonomous overtaking manœuvre. To this end, a fuzzy-logic based controller was developed to emulate how humans overtake. Its input is information from the vision system and from a positioning-based system consisting of a differential global positioning system (DGPS) and an inertial measurement unit (IMU). Its output is the generation of action on the vehicle’s actuators, i.e., the steering wheel and throttle and brake pedals. The system has been incorporated into a commercial Citroën car and tested on the private driving circuit at the facilities of our research center, CAR, with different preceding vehicles – a motorbike, car, and truck – with encouraging results.

Low-speed longitudinal controllers for mass-produced cars: A comparative study

Four longitudinal control techniques are compared: a classical Proportional-Integral (PI) control; an advanced technique-called the i-PI-that adds an intelligent component to the PI; a fuzzy controller based on human experience; and an adaptive-network-based fuzzy inference system. The controllers were designed to tackle one of the challenging topics as yet unsolved by the automotive sector: managing autonomously a gasoline-propelled vehicle at very low speeds. The dynamics involved are highly nonlinear and constitute an excellent test-bed for newly designed controllers. A Citroën C3 Pluriel car was modified to permit autonomous action on the accelerator and the brake pedals-i.e., longitudinal control. The controllers were tested in two stages. First, the vehicle was modeled to check the controllers' feasibility. Second, the controllers were then implemented in the Citroën, and their behavior under the same conditions on an identical real circuit was compared.

Traffic jam driving with NMV avoidance

n recent years, the development of advanced driver assistance systems (ADAS) – mainly based on lidar and cameras – has considerably improved the safety of driving in urban environments. These systems provide warning signals for the driver in the case that any unexpected traffic circumstance is detected. The next step is to develop systems capable not only of warning the driver but also of taking over control of the car to avoid a potential collision. In the present communication, a system capable of autonomously avoiding collisions in traffic jam situations is presented. First, a perception system was developed for urban situations—in which not only vehicles have to be considered, but also pedestrians and other non-motor-vehicles (NMV). It comprises a differential global positioning system (DGPS) and wireless communication for vehicle detection, and an ultrasound sensor for NMV detection. Then, the vehicle's actuators – brake and throttle pedals – were modified to permit autonomous control. Finally, a fuzzy logic controller was implemented capable of analyzing the information provided by the perception system and of sending control commands to the vehicle's actuators so as to avoid accidents. The feasibility of the integrated system was tested by mounting it in a commercial vehicle, with the results being encouraging.

Discriminación del estado de la carretera mediante procesado acústico en vehículo

La rápida adopción de dispositivos electrónicos en el automóvil, ha contribuido a mejorar en gran medida la seguridad y el confort. Desde principios del siglo 20, la investigación en sistemas de seguridad activa ha originado el desarrollo de tecnologías como ABS (Antilock Brake System), TCS (Traction Control System) y ESP (Electronic Stability Program). El coste de despliegue de estos sistemas es crítico: históricamente, sólo han sido ampliamente adoptados cuando el precio de los sensores y la electrónica necesarios para su construcción ha caído hasta un valor marginal. Hoy en día, los vehículos a motor incluyen un amplio rango de sensores para implementar las funciones de seguridad. La incorporación de sistemas que detecten la presencia de agua, hielo o nieve en la vía es un factor adicional que podría ayudar a evitar situaciones de riesgo. Existen algunas implementaciones prácticas capaces de detectar carreteras mojadas, heladas y nevadas, aunque con limitaciones importantes. En esta tesis doctoral, se propone una aproximación novedosa al problema, basada en el análisis del ruido de rodadura generado durante la conducción. El ruido de rodadura es capturado y preprocesado. Después es analizado utilizando un clasificador basado en máquinas de vectores soporte (SVM), con el fin de generar una estimación del estado del firme. Todas estas operaciones se realizan en el propio vehículo. El sistema propuesto se ha desarrollado y evaluado utilizando Matlabr, mostrando tasas de aciertos de más del 90%. Se ha realizado una implementación en tiempo real, utilizando un prototipo basado en DSP. Después se han introducido varias optimizaciones para permitir que el sistema sea realizable usando un microcontrolador de propósito general. Finalmente se ha realizado una implementación hardware basada en un microcontrolador, integrándola estrechamente con las ECU del vehículo, pudiendo obtener datos capturados por los sensores del mismo y enviar las estimaciones del estado del firme. El sistema resultante ha sido patentado, y destaca por su elevada tasa de aciertos con un tamaño, consumo y coste reducidos. ABSTRACT Proliferation of automotive electronics, has greatly improved driving safety and comfort. Since the beginning of the 20th century, investigation in active safety systems has resulted in the development of technologies such as ABS (Antilock Brake System), TCS (Traction Control System) and ESP (Electronic Stability Program). Deployment cost of these systems is critical: historically, they have been widely adopted only when the price of the sensors and electronics needed to build them has been cut to a marginal value. Nowadays, motor vehicles include a wide range of sensors to implement the safety functions. Incorporation of systems capable of detecting water, ice or snow on the road is an additional factor that could help avoiding risky situations. There are some implementations capable of detecting wet, icy and snowy roads, although with important limitations. In this PhD Thesis, a novel approach is proposed, based on the analysis of the tyre/road noise radiated during driving. Tyre/road noise is captured and pre-processed. Then it is analysed using a Support Vector Machine (SVM) based classifier, to output an estimation of the road status. All these operations are performed on-board. Proposed system is developed and evaluated using Matlabr, showing success rates greater than 90%. A real time implementation is carried out using a DSP based prototype. Several optimizations are introduced enabling the system to work using a low-cost general purpose microcontroller. Finally a microcontroller based hardware implementation is developed. This implementation is tightly integrated with the vehicle ECUs, allowing it to obtain data captured by its sensors, and to send the road status estimations. Resulting system has been patented, and is notable because of its high hit rate, small size, low power consumption and low cost.

Road Dust Emission Sources and Assessment of Street Washing Effect

Although previous studies report on the effect of street washing on ambient particulate matter levels, there is a lack of studies investigating the results of street washing on the emission strength of road dust. A sampling campaign was conducted in Madrid urban area during July 2009 where road dust samples were collected in two sites, namely Reference site (where the road surface was not washed) and Pelayo site (where street washing was performed daily during night). Following the chemical characterization of the road dust particles the emission sources were resolved by means of Positive Matrix Factorization, PMF (Multilinear Engine scripting) and the mass contribution of each source was calculated for the two sites. Mineral dust, brake wear, tire wear, carbonaceous emissions and construction dust were the main sources of road dust with mineral and construction dust being the major contributors to inhalable road dust load. To evaluate the effectiveness of street washing on the emission sources, the sources mass contributions between the two sites were compared. Although brake wear and tire wear had lower concentrations at the site where street washing was performed, these mass differences were not statistically significant and the temporal variation did not show the expected build-up after dust removal. It was concluded that the washing activities resulted merely in a road dust moistening, without effective removal and that mobilization of particles took place in a few hours between washing and sampling. The results also indicated that it is worth paying attention to the dust dispersed from the construction sites as they affect the emission strength in nearby streets.

Papyrus, EATOP, and MetaEdit+: a comparison between the EAST-ADL modeling tools

Several Architecture Description Languages (ADLs) are emerging as models to describe and represent system architectures. Among others, EAST-ADL language is highlighted. It represents an abstraction of embedded software systems for automobiles. Given the need to implement the EAST-ADL language, there are many modeling tools to perform this task. The scope of this thesis is a detailed comparison of three EAST-ADL editors: Papyrus, EATOP and MetaEdit +, providing a conceptual framework, describing the comparison criteria, and finally exemplifying thanks to the Brake-By-Wire use case which has been provided, and whose development is not the subject of this project. The motivation for developing this project is to provide comparison guide between these three modeling tools to facilitate developers choice when deciding the tool in which develop their work. RESUMEN. Diversos Lenguajes de Descripción de Arquitecturas (ADLs) están surgiendo como modelos para describir y representar arquitecturas de sistemas. Entre ellos es destacado el lenguaje EAST-ADL, que representa una abstracción de los sistemas de software embebido para automóviles. Ante la necesidad de implementar el lenguaje EAST-ADL, han surgido diversas herramientas de modelado que llevan a cabo esta tarea. El alcance de este proyecto consiste en una comparación detallada de tres editores EAST-ADL: Papyrus, EATOP y MetaEdit+, proporcionando un marco conceptual, describiendo los criterios de comparación y finalmente ejemplificando con el caso de uso Brake-By-Wire que nos ha sido proporcionado, y cuyo desarrollo no es sujeto de este proyecto. La motivación para desarrollar este proyecto parte de proporcionar al usuario una guía comparativa de estas tres herramientas de modelado para facilitar su elección a la hora de desarrollar su trabajo.

Análisis paramétrico determinista y aleatorio de problemas dinámicos en estructuras aeroespaciales

Los fenómenos dinámicos pueden poner en peligro la integridad de estructuras aeroespaciales y los ingenieros han desarrollado diferentes estrategias para analizarlos. Uno de los grandes problemas que se plantean en la ingeniería es cómo atacar un problema dinámico estructural. En la presente tesis se plantean distintos fenómenos dinámicos y se proponen métodos para estimar o simular sus comportamientos mediante un análisis paramétrico determinista y aleatorio del problema. Se han propuesto desde problemas sencillos con pocos grados de libertad que sirven para analizar las diferentes estrategias y herramientas a utilizar, hasta fenómenos muy dinámicos que contienen comportamientos no lineales, daños y fallos. Los primeros ejemplos de investigación planteados cubren una amplia gama de los fenómenos dinámicos, como el análisis de vibraciones de elementos másicos, incluyendo impactos y contactos, y el análisis de una viga con carga armónica aplicada a la que también se le añaden parámetros aleatorios que pueden responder a un desconocimiento o incertidumbre de los mismos. Durante el desarrollo de la tesis se introducen conceptos y se aplican distintos métodos, como el método de elementos finitos (FEM) en el que se analiza su resolución tanto por esquemas implícitos como explícitos, y métodos de análisis paramétricos y estadísticos mediante la técnica de Monte Carlo. Más adelante, una vez ya planteadas las herramientas y estrategias de análisis, se estudian fenómenos más complejos, como el impacto a baja velocidad en materiales compuestos, en el que se busca evaluar la resistencia residual y, por lo tanto, la tolerancia al daño de la estructura. Se trata de un suceso que puede producirse por la caída de herramienta, granizo o restos en la pista de aterrizaje. Otro de los fenómenos analizados también se da en un aeropuerto y se trata de la colisión con un dispositivo frangible, el cual tiene que romperse bajo ciertas cargas y, sin embargo, soportar otras. Finalmente, se aplica toda la metodología planteada en simular y analizar un posible incidente en vuelo, el fenómeno de la pérdida de pala de un turbohélice. Se trata de un suceso muy particular en el que la estructura tiene que soportar unas cargas complejas y excepcionales con las que la aeronave debe ser capaz de completar con éxito el vuelo. El análisis incluye comportamientos no lineales, daños, y varios tipos de fallos, y en el que se trata de identificar los parámetros clave en la secuencia del fallo. El suceso se analiza mediante análisis estructurales deterministas más habituales y también mediante otras técnicas como el método de Monte Carlo con el que se logran estudiar distintas incertidumbres en los parámetros con variables aleatorias. Se estudian, entre otros, el tamaño de pala perdida, la velocidad y el momento en el que se produce la rotura, y la rigidez y resistencia de los apoyos del motor. Se tiene en cuenta incluso el amortiguamiento estructural del sistema. Las distintas estrategias de análisis permiten obtener unos resultados valiosos e interesantes que han sido objeto de distintas publicaciones. ABSTRACT Dynamic phenomena can endanger the integrity of aerospace structures and, consequently, engineers have developed different strategies to analyze them. One of the major engineering problems is how to deal with the structural dynamics. In this thesis, different dynamic phenomena are introduced and several methods are proposed to estimate or simulate their behaviors. The analysis is considered through parametric, deterministic and statistical methods. The suggested issues are from simple problems with few degrees of freedom, in order to develop different strategies and tools to solve them, to very dynamic phenomena containing nonlinear behaviors failures, damages. The first examples cover a wide variety of dynamic phenomena such as vibration analysis of mass elements, including impacts and contacts, and beam analysis with harmonic load applied, in which random parameters are included. These parameters can represent the unawareness or uncertainty of certain variables. During the development of the thesis several concepts are introduced and different methods are applied, such as the finite element method (FEM), which is solved through implicit and explicit schemes, and parametrical and statistical methods using the Monte Carlo analysis technique. Next, once the tools and strategies of analysis are set out more complex phenomena are studied. This is the case of a low-speed impact in composite materials, the residual strength of the structure is evaluated, and therefore, its damage tolerance. This incident may occur from a tool dropped, hail or debris throw on the runway. At an airport may also occur, and it is also analyzed, a collision between an airplane and a frangible device. The devise must brake under these loads, however, it must withstand others. Finally, all the considered methodology is applied to simulate and analyze a flight incident, the blade loss phenomenon of a turboprop. In this particular event the structure must support complex and exceptional loads and the aircraft must be able to successfully complete the flight. Nonlinear behavior, damage, and different types of failures are included in the analysis, in which the key parameters in the failure sequence are identified. The incident is analyzed by deterministic structural analysis and also by other techniques such as Monte Carlo method, in which it is possible to include different parametric uncertainties through random variables. Some of the evaluated parameters are, among others, the blade loss size, propeller rotational frequency, speed and angular position where the blade is lost, and the stiffness and strength of the engine mounts. The study does also research on the structural damping of the system. The different strategies of analysis obtain valuable and interesting results that have been already published.

Co-simulation Methodologies for Hybrid and Electric Vehicle Dynamics

In recent decades, full electric and hybrid electric vehicles have emerged as an alternative to conventional cars due to a range of factors, including environmental and economic aspects. These vehicles are the result of considerable efforts to seek ways of reducing the use of fossil fuel for vehicle propulsion. Sophisticated technologies such as hybrid and electric powertrains require careful study and optimization. Mathematical models play a key role at this point. Currently, many advanced mathematical analysis tools, as well as computer applications have been built for vehicle simulation purposes. Given the great interest of hybrid and electric powertrains, along with the increasing importance of reliable computer-based models, the author decided to integrate both aspects in the research purpose of this work. Furthermore, this is one of the first final degree projects held at the ETSII (Higher Technical School of Industrial Engineers) that covers the study of hybrid and electric propulsion systems. The present project is based on MBS3D 2.0, a specialized software for the dynamic simulation of multibody systems developed at the UPM Institute of Automobile Research (INSIA). Automobiles are a clear example of complex multibody systems, which are present in nearly every field of engineering. The work presented here benefits from the availability of MBS3D software. This program has proven to be a very efficient tool, with a highly developed underlying mathematical formulation. On this basis, the focus of this project is the extension of MBS3D features in order to be able to perform dynamic simulations of hybrid and electric vehicle models. This requires the joint simulation of the mechanical model of the vehicle, together with the model of the hybrid or electric powertrain. These sub-models belong to completely different physical domains. In fact the powertrain consists of energy storage systems, electrical machines and power electronics, connected to purely mechanical components (wheels, suspension, transmission, clutch…). The challenge today is to create a global vehicle model that is valid for computer simulation. Therefore, the main goal of this project is to apply co-simulation methodologies to a comprehensive model of an electric vehicle, where sub-models from different areas of engineering are coupled. The created electric vehicle (EV) model consists of a separately excited DC electric motor, a Li-ion battery pack, a DC/DC chopper converter and a multibody vehicle model. Co-simulation techniques allow car designers to simulate complex vehicle architectures and behaviors, which are usually difficult to implement in a real environment due to safety and/or economic reasons. In addition, multi-domain computational models help to detect the effects of different driving patterns and parameters and improve the models in a fast and effective way. Automotive designers can greatly benefit from a multidisciplinary approach of new hybrid and electric vehicles. In this case, the global electric vehicle model includes an electrical subsystem and a mechanical subsystem. The electrical subsystem consists of three basic components: electric motor, battery pack and power converter. A modular representation is used for building the dynamic model of the vehicle drivetrain. This means that every component of the drivetrain (submodule) is modeled separately and has its own general dynamic model, with clearly defined inputs and outputs. Then, all the particular submodules are assembled according to the drivetrain configuration and, in this way, the power flow across the components is completely determined. Dynamic models of electrical components are often based on equivalent circuits, where Kirchhoff’s voltage and current laws are applied to draw the algebraic and differential equations. Here, Randles circuit is used for dynamic modeling of the battery and the electric motor is modeled through the analysis of the equivalent circuit of a separately excited DC motor, where the power converter is included. The mechanical subsystem is defined by MBS3D equations. These equations consider the position, velocity and acceleration of all the bodies comprising the vehicle multibody system. MBS3D 2.0 is entirely written in MATLAB and the structure of the program has been thoroughly studied and understood by the author. MBS3D software is adapted according to the requirements of the applied co-simulation method. Some of the core functions are modified, such as integrator and graphics, and several auxiliary functions are added in order to compute the mathematical model of the electrical components. By coupling and co-simulating both subsystems, it is possible to evaluate the dynamic interaction among all the components of the drivetrain. ‘Tight-coupling’ method is used to cosimulate the sub-models. This approach integrates all subsystems simultaneously and the results of the integration are exchanged by function-call. This means that the integration is done jointly for the mechanical and the electrical subsystem, under a single integrator and then, the speed of integration is determined by the slower subsystem. Simulations are then used to show the performance of the developed EV model. However, this project focuses more on the validation of the computational and mathematical tool for electric and hybrid vehicle simulation. For this purpose, a detailed study and comparison of different integrators within the MATLAB environment is done. Consequently, the main efforts are directed towards the implementation of co-simulation techniques in MBS3D software. In this regard, it is not intended to create an extremely precise EV model in terms of real vehicle performance, although an acceptable level of accuracy is achieved. The gap between the EV model and the real system is filled, in a way, by introducing the gas and brake pedals input, which reflects the actual driver behavior. This input is included directly in the differential equations of the model, and determines the amount of current provided to the electric motor. For a separately excited DC motor, the rotor current is proportional to the traction torque delivered to the car wheels. Therefore, as it occurs in the case of real vehicle models, the propulsion torque in the mathematical model is controlled through acceleration and brake pedal commands. The designed transmission system also includes a reduction gear that adapts the torque coming for the motor drive and transfers it. The main contribution of this project is, therefore, the implementation of a new calculation path for the wheel torques, based on performance characteristics and outputs of the electric powertrain model. Originally, the wheel traction and braking torques were input to MBS3D through a vector directly computed by the user in a MATLAB script. Now, they are calculated as a function of the motor current which, in turn, depends on the current provided by the battery pack across the DC/DC chopper converter. The motor and battery currents and voltages are the solutions of the electrical ODE (Ordinary Differential Equation) system coupled to the multibody system. Simultaneously, the outputs of MBS3D model are the position, velocity and acceleration of the vehicle at all times. The motor shaft speed is computed from the output vehicle speed considering the wheel radius, the gear reduction ratio and the transmission efficiency. This motor shaft speed, somehow available from MBS3D model, is then introduced in the differential equations corresponding to the electrical subsystem. In this way, MBS3D and the electrical powertrain model are interconnected and both subsystems exchange values resulting as expected with tight-coupling approach.When programming mathematical models of complex systems, code optimization is a key step in the process. A way to improve the overall performance of the integration, making use of C/C++ as an alternative programming language, is described and implemented. Although this entails a higher computational burden, it leads to important advantages regarding cosimulation speed and stability. In order to do this, it is necessary to integrate MATLAB with another integrated development environment (IDE), where C/C++ code can be generated and executed. In this project, C/C++ files are programmed in Microsoft Visual Studio and the interface between both IDEs is created by building C/C++ MEX file functions. These programs contain functions or subroutines that can be dynamically linked and executed from MATLAB. This process achieves reductions in simulation time up to two orders of magnitude. The tests performed with different integrators, also reveal the stiff character of the differential equations corresponding to the electrical subsystem, and allow the improvement of the cosimulation process. When varying the parameters of the integration and/or the initial conditions of the problem, the solutions of the system of equations show better dynamic response and stability, depending on the integrator used. Several integrators, with variable and non-variable step-size, and for stiff and non-stiff problems are applied to the coupled ODE system. Then, the results are analyzed, compared and discussed. From all the above, the project can be divided into four main parts: 1. Creation of the equation-based electric vehicle model; 2. Programming, simulation and adjustment of the electric vehicle model; 3. Application of co-simulation methodologies to MBS3D and the electric powertrain subsystem; and 4. Code optimization and study of different integrators. Additionally, in order to deeply understand the context of the project, the first chapters include an introduction to basic vehicle dynamics, current classification of hybrid and electric vehicles and an explanation of the involved technologies such as brake energy regeneration, electric and non-electric propulsion systems for EVs and HEVs (hybrid electric vehicles) and their control strategies. Later, the problem of dynamic modeling of hybrid and electric vehicles is discussed. The integrated development environment and the simulation tool are also briefly described. The core chapters include an explanation of the major co-simulation methodologies and how they have been programmed and applied to the electric powertrain model together with the multibody system dynamic model. Finally, the last chapters summarize the main results and conclusions of the project and propose further research topics. In conclusion, co-simulation methodologies are applicable within the integrated development environments MATLAB and Visual Studio, and the simulation tool MBS3D 2.0, where equation-based models of multidisciplinary subsystems, consisting of mechanical and electrical components, are coupled and integrated in a very efficient way.