Automatic Understanding of ATC Speech: Study of Prospectives and Field Experiments for Several Controller Positions

Although there has been a lot of interest in recognizing and understanding air traffic control (ATC) speech, none of the published works have obtained detailed field data results. We have developed a system able to identify the language spoken and recognize and understand sentences in both Spanish and English. We also present field results for several in-tower controller positions. To the best of our knowledge, this is the first time that field ATC speech (not simulated) is captured, processed, and analyzed. The use of stochastic grammars allows variations in the standard phraseology that appear in field data. The robust understanding algorithm developed has 95% concept accuracy from ATC text input. It also allows changes in the presentation order of the concepts and the correction of errors created by the speech recognition engine improving it by 17% and 25%, respectively, absolute in the percentage of fully correctly understood sentences for English and Spanish in relation to the percentages of fully correctly recognized sentences. The analysis of errors due to the spontaneity of the speech and its comparison to read speech is also carried out. A 96% word accuracy for read speech is reduced to 86% word accuracy for field ATC data for Spanish for the "clearances" task confirming that field data is needed to estimate the performance of a system. A literature review and a critical discussion on the possibilities of speech recognition and understanding technology applied to ATC speech are also given.

Pond head level control in a run-of-river hydro power plant using fuzzy controller

The run-of-river hydro power plant usually have low or nil water storage capacity, and therefore an adequate control strategy is required to keep the water level constant in pond. This paper presents a novel technique based on TSK fuzzy controller to maintain the pond head constant. The performance is investigated over a wide range of hill curve of hydro turbine. The results are compared with PI controller as discussed in [1].

Evidence of charge carrier number fluctuations in InN thin films?

Due to its small band-gap and its high mobility, InN is a promising material for a large number of key applications like band-gap engineering for high efficiency solar cells, light emitting diodes, and high speed devices. Unfortunately, it has been reported that this material exhibits strong surface charge accumulation which may depend on the type of surface. Current investigations are conducted in order to explain the mechanisms which govern such a behavior and to look for ways of avoiding it and/or finding applications that may use such an effect. In this framework, low frequency noise measurements have been performed at different temperatures on patterned MBE grown InN layers. The evolution of the 1/f noise level with temperature in the 77 K-300 K range is consistent with carrier number fluctuations thus indicating surface mechanisms: the surface charge accumulation is confirmed by the noise measurements.

ITER fast plant system controller prototype based on PXIe platform

The ITER CODAC design identifies slow and fast plant system controllers (PSC). The gast OSCs are based on embedded technologies, permit sampling rates greater than 1 KHz, meet stringent real-time requirements, and will be devoted to data acquisition tasks and control purposes. CIEMAT and UPM have implemented a prototype of a fast PSC based on commercial off-the-shelf (COTS) technologies with PXI hardware and software based on EPICS

ITER Fast Plant System Controller Prototype Based on Commercial PXI Platform

The ITER CODAC design identifies slow and fast plant system controllers (PSC). The gast OSCs are based on embedded technologies, permit sampling rates greater than 1 KHz, meet stringent real-time requirements, and will be devoted to data acquisition tasks and control purposes. CIEMAT and UPM have implemented a prototype of a fast PSC based on commercial off-the-shelf (COTS) technologies with PXI hardware and software based on EPICS

Neural network controller for active demand side management with PV energy in the residential sector

In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.

Cross-entropy optimization for scaling factors of a fuzzy controller: a see-and-avoid approach for unmanned aerial systems

The Cross-Entropy (CE) is an efficient method for the estimation of rare-event probabilities and combinatorial optimization. This work presents a novel approach of the CE for optimization of a Soft-Computing controller. A Fuzzy controller was designed to command an unmanned aerial system (UAS) for avoiding collision task. The only sensor used to accomplish this task was a forward camera. The CE is used to reach a near-optimal controller by modifying the scaling factors of the controller inputs. The optimization was realized using the ROS-Gazebo simulation system. In order to evaluate the optimization a big amount of tests were carried out with a real quadcopter.

Quadcopter see and avoid using a fuzzy controller

Unmanned Aerial Vehicles (UAVs) industry is a fast growing sector. Nowadays, the market offers numerous possibilities for off-the-shelf UAVs such as quadrotors or fixed-wings. Until UAVs demonstrate advance capabilities such as autonomous collision avoidance they will be segregated and restricted to flight in controlled environments. This work presents a visual fuzzy servoing system for obstacle avoidance using UAVs. To accomplish this task we used the visual information from the front camera. Images are processed off-board and the result send to the Fuzzy Logic controller which then send commands to modify the orientation of the aircraft. Results from flight test are presented with a commercial off-the-shelf platform.

Genetic fuzzy-based steering wheel controller using a mass-produced car

Intelligent Transportation Systems (ITS) cover a broad range of methods and technologies that provide answers to many problems of transportation. Unmanned control of the steering wheel is one of the most important challenges facing researchers in this area. This paper presents a method to adjust automatically a fuzzy controller to manage the steering wheel of a mass-produced vehicle to reproduce the steering of a human driver. To this end, information is recorded about the car's state while being driven by human drivers and used to obtain, via genetic algorithms, appropriate fuzzy controllers that can drive the car in the way that humans do. These controllers have satisfy two main objectives: to reproduce the human behavior, and to provide smooth actions to ensure comfortable driving. Finally, the results of automated driving on a test circuit are presented, showing both good route tracking (similar to the performance obtained by persons in the same task) and smooth driving.

Ion charge number and flux saturation effects in the corona of a laser-irradiated pellet

The quasisteady structure of the corona of a laser-irradiated pellet is completely determined for arbitrary Z, (ion charge number} and re/ra (ratio of critical and ablation radii), and for heat-flux saturation factor/above approximately 0.04. The ion-to-electron temperature ratio at rc grows sensibly with Z,; all other quantities depend weakly and nonmonotonically on Z,. For rc /ra close to unity, and all Z, of interest (Z, < 47}, the flow is subsonic at rc. For a given laser power W, flux saturation may decrease (low/) or increase (high/) the ablation pressure Pa relative to the value obtained when saturation is not considered; in some cases a decrease in/with W fixed increases Pa. For intermediate^ ~0.1), Pa cc (W/r* )2/3 p\n\pc = critical density), independently of rc/ra; for/~0.6, Pa «s larger by a factor of about [rc/raf13. For rjra > 1.2 roughly, the mass ablation rate is C{Z,) [{m/kZ.f^Kr^Pl) l,\ independent of pc and/, and barely dependent on Z,(m, is ion mass; k, Boltzmann's constant; K, conductivity coefficient; and C, a tabulated function).

Integración de baterías en sistemas fotovoltaicos conectados a red

La situación actual del mercado energético en España y el imparable aumento de las tasas por parte de las eléctricas, está fomentando la búsqueda de fuentes de energía alternativas que permitan a la población poder abastecerse de electricidad, sin tener que pagar unos costes tan elevados. Para cubrir esta necesidad, la energía fotovoltaica y sobretodo el autoconsumo con inyección a red o balance neto, está adquiriendo cada vez más importancia dentro del mundo energético. Pero la penetración de esta tecnología en la Red Eléctrica Española tiene un freno, la desconfianza por parte del operador de la red, ya que la fotovoltaica es una fuente de energía intermitente, que puede introducir inestabilidades en el sistema en caso de alta penetración. Por ello se necesita ganar la confianza de las eléctricas, haciendo que sea una energía predecible, que aporte potencia a la red eléctrica cuando se le pida y que opere participando en la regulación de la frecuencia del sistema eléctrico. Para tal fin, el grupo de investigación de Sistemas Fotovoltaicos, perteneciente al IES de la UPM, está llevando a cabo un proyecto de investigación denominado PV CROPS, financiado por la Comisión Europea, y que tiene por objetivo desarrollar estas estrategias de gestión. En este contexto, el objetivo de este Proyecto Fin de Carrera consiste en implementar un Banco de Ensayos con Integración de Baterías en Sistemas FV Conectados a Red, que permita desarrollar, ensayar y validar estas estrategias. Aprovechando la disponibilidad para usar el Hogar Digital, instalado en la EUITT de la UPM, hemos montado el banco de ensayos en un laboratorio contiguo, y así, poder utilizar este Hogar como un caso real de consumos energéticos de una vivienda. Este banco de ensayos permitirá obtener información de la energía generada por la instalación fotovoltaica y del consumo real de la "casa" anexa, para desarrollar posteriormente estrategias de gestión de la electricidad. El Banco de Ensayos está compuesto por tres bloques principales, interconectados entre sí:  Subsistema de Captación de Datos y Comunicación. Encargado de monitorizar los elementos energéticos y de enviar la información recopilada al Subsistema de Control. Formado por analizadores de red eléctrica, monofásicos y de continua, y una pasarela orientada a la conversión del medio físico Ethernet a RS485.  Subsistema de Control. Punto de observación y recopilación de toda la información que proviene de los elementos energéticos. Es el subsistema donde se crearán y se implementarán estrategias de control energético. Compuesto por un equipo Pxie, controlador empotrado en un chasis de gama industrial, y un equipo PC Host, compuesto por una workstation y tres monitores.  Subsistema de Energía. Formado por los elementos que generan, controlan o consumen energía eléctrica, en el Banco de Ensayos. Constituido por una pérgola FV, un inversor, un inversor bidireccional y un bloque de baterías. El último paso ha sido llevar a cabo un Ejemplo de Aplicación Práctica, con el que hemos probado que el Banco de Ensayos está listo para usarse, es operativo y completamente funcional en operaciones de monitorización de generación energética fotovoltaica y consumo energético. ABSTRACT. The current situation of the energetic market in Spain and the unstoppable increase of the tax on the part of the electrical companies, is promoting the search of alternative sources of energy that allow to the population being able to be supplied of electricity, without having to pay so high costs. To meet this need, the photovoltaic power and above all the self-consumption with injection to network, it is increasingly important inside the energetic world. It allows to the individual not only to pay less for the electricity, in addition it allows to obtain benefits for the energy generated in his own home. But the penetration of this technology in the Electrical Spanish Network has an obstacle, the distrust on the part of the operator of the electrical network, due to the photovoltaic is an intermittent source of energy, which can introduce instabilities in the system in case of high penetration. Therefore it´s necessary to reach the confidence of the electricity companies, making it a predictable energy, which provides with power to the electrical network whenever necessary and that operates taking part in the regulation of the frequency of the electric system. For such an end, the group of system investigation Photovoltaic, belonging to the IES of the UPM, there is carrying out a project of investigation named PV CROPS, financed by the European Commission, and that has for aim to develop these strategies of management. In this context, the objective of this Senior Thesis consists in implementing a Bank of Tests with Integration of Batteries in Photovoltaic Systems Connected to Network, which allows developing, testing and validating these strategies. Taking advantage of the availability to use the Digital Home installed in the EUITT of the UPM, we have mounted the bank of tests in a contiguous laboratory to use this Home as a real case of energetic consumptions of a house. This bank of tests will allow obtaining information of the energy generated by the photovoltaic installation and information of the royal consumption of the attached "house", to develop later strategies of management of the electricity. The Bank of Tests is composed by three principal blocks, interconnected each other:  Subsystem of Gathering of data and Communication. In charge of monitoring the energetic elements and sending the information compiled to the Subsystem of Control. Formed by power analyzers, AC and DC, and a gateway for the conversion of the Ethernet physical medium to RS485.  Subsystem of Control. Point of observation and compilation of all the information that comes from the energetic elements. It is the subsystem where there will be created and there will be implemented strategies of energetic control. Composed of a Pxie, controller fixed in an industrial range chassis, and a PC Host, formed by a workstation and three monitors.  Subsystem of Energy. Formed by the elements of generating, controlling or consuming electric power, in the Bank of Tests. Made of photovoltaic modules, an inverter, a twoway inverter and a batteries block. The last step has been performing an Example of Practical Application we have proved that the Bank of Tests is ready to be used, it´s operative and fully functional in monitoring operations of energetic photovoltaic generation and energetic consumption.

Self-consistent, nonlocal electron heat flux at arbitrary ion charge number

A single, nonlocal expression for the electron heat flux, which closely reproduces known results at high and low ion charge number 2, and “exact” results for the local limit at all 2, is derived by solving the kinetic equation in a narrow, tail-energy range. The solution involves asymptotic expansions of Bessel functions of large argument, and (Z-dependent)order above or below it, corresponding to the possible parabolic or hyperbolic character of the kinetic equation; velocity space diffusion in self-scattering is treated similarly to isotropic thermalization of tail energies in large Z analyses. The scale length H characterizing nonlocal effects varies with Z, suggesting an equal dependence of any ad hoc flux limiter. The model is valid for all H above the mean-free path for thermal electrons.

Artificial pancreas using a personalized rule-based controller achieves overnight normoglycemia in patients with type 1 diabetes

Objective: This study assessed the efficacy of a closed-loop (CL) system consisting of a predictive rule-based algorithm (pRBA) on achieving nocturnal and postprandial normoglycemia in patients with type 1 diabetes mellitus (T1DM). The algorithm is personalized for each patient’s data using two different strategies to control nocturnal and postprandial periods. Research Design and Methods: We performed a randomized crossover clinical study in which 10 T1DM patients treated with continuous subcutaneous insulin infusion (CSII) spent two nonconsecutive nights in the research facility: one with their usual CSII pattern (open-loop [OL]) and one controlled by the pRBA (CL). The CL period lasted from 10 p.m. to 10 a.m., including overnight control, and control of breakfast. Venous samples for blood glucose (BG) measurement were collected every 20 min. Results: Time spent in normoglycemia (BG, 3.9–8.0 mmol/L) during the nocturnal period (12 a.m.–8 a.m.), expressed as median (interquartile range), increased from 66.6% (8.3–75%) with OL to 95.8% (73–100%) using the CL algorithm (P<0.05). Median time in hypoglycemia (BG, <3.9 mmol/L) was reduced from 4.2% (0–21%) in the OL night to 0.0% (0.0–0.0%) in the CL night (P<0.05). Nine hypoglycemic events (<3.9 mmol/L) were recorded with OL compared with one using CL. The postprandial glycemic excursion was not lower when the CL system was used in comparison with conventional preprandial bolus: time in target (3.9–10.0 mmol/L) 58.3% (29.1–87.5%) versus 50.0% (50–100%). Conclusions: A highly precise personalized pRBA obtains nocturnal normoglycemia, without significant hypoglycemia, in T1DM patients. There appears to be no clear benefit of CL over prandial bolus on the postprandial glycemia

Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller

In this paper, an intelligent control approach based on neuro-fuzzy systems performance is presented, with the objective of counteracting the vibrations that affect the low-cost vision platform onboard an unmanned aerial system of rotating nature. A scaled dynamical model of a helicopter is used to simulate vibrations on its fuselage. The impact of these vibrations on the low-cost vision system will be assessed and an intelligent control approach will be derived in order to reduce its detrimental influence. Different trials that consider a neuro-fuzzy approach as a fundamental part of an intelligent semi-active control strategy have been carried out. Satisfactory results have been achieved compared to those obtained by means of vibration reduction passive techniques.