857 resultados para Closed loop control systems
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Type 1 diabetes-mellitus implies a life-threatening absolute insulin deficiency. Artificial pancreas (CGM sensor, insulin pump and control algorithm) is promising to outperform current open-loop therapies.
Differences in Closed-Loop Control of Cutting Movements Between Collegiate Athletes and Non-Athletes
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1-D engine simulation models are widely used for the analysis and verification of air-path design concepts and prediction of the resulting engine transient response. The latter often requires closed loop control over the model to ensure operation within physical limits and tracking of reference signals. For this purpose, a particular implementation of Model Predictive Control (MPC) based on a corresponding Mean Value Engine Model (MVEM) is reported here. The MVEM is linearised on-line at each operating point to allow for the formulation of quadratic programming (QP) problems, which are solved as the part of the proposed MPC algorithm. The MPC output is used to control a 1-D engine model. The closed loop performance of such a system is benchmarked against the solution of a related optimal control problem (OCP). As an example this study is focused on the transient response of a light-duty car Diesel engine. For the cases examined the proposed controller implementation gives a more systematic procedure than other ad-hoc approaches that require considerable tuning effort. © 2012 IFAC.
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Aircraft systems are highly nonlinear and time varying. High-performance aircraft at high angles of incidence experience undesired coupling of the lateral and longitudinal variables, resulting in departure from normal controlled flight. The aim of this work is to construct a robust closed-loop control that optimally extends the stable and decoupled flight envelope. For the study of these systems nonlinear analysis methods are needed. Previously, bifurcation techniques have been used mainly to analyze open-loop nonlinear aircraft models and investigate control effects on dynamic behavior. In this work linear feedback control designs calculated by eigenstructure assignment methods are investigated for a simple aircraft model at a fixed flight condition. Bifurcation analysis in conjunction with linear control design methods is shown to aid control law design for the nonlinear system.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Networked control systems (NCSs) are distributed control systems in which the sensors, actuators, and controllers are physically separated and connected through an industrial network. The main challenge related to the development of NCSs is the degenerative effects caused by the inclusion of this communication network in the closed loop control. In order to mitigate these effects, co-simulation tools for NCS have been developed to study the network influence in the NCS. This paper presents a revision about co-simulation tools for NCS and the application of two of these tools for the design and evaluation of NCSs. The TrueTime and Jitterbug tools were used together to evaluate the main configuration parameter that affects the performance of CAN-based NCS and to verify the NCS quality of control under various timing conditions including different transmission period of messages and network delays. Therefore, the simulation results led to the conclusion that despite the transmission period of messages is the most significant factor among the analyzed in the design of NCS, its influence is related to the kind of system with greater effects in NCSs with fast dynamics.
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Robust controllers for nonlinear stochastic systems with functional uncertainties can be consistently designed using probabilistic control methods. In this paper a generalised probabilistic controller design for the minimisation of the Kullback-Leibler divergence between the actual joint probability density function (pdf) of the closed loop control system, and an ideal joint pdf is presented emphasising how the uncertainty can be systematically incorporated in the absence of reliable systems models. To achieve this objective all probabilistic models of the system are estimated from process data using mixture density networks (MDNs) where all the parameters of the estimated pdfs are taken to be state and control input dependent. Based on this dependency of the density parameters on the input values, explicit formulations to the construction of optimal generalised probabilistic controllers are obtained through the techniques of dynamic programming and adaptive critic methods. Using the proposed generalised probabilistic controller, the conditional joint pdfs can be made to follow the ideal ones. A simulation example is used to demonstrate the implementation of the algorithm and encouraging results are obtained.
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Es bien conocido por todos que la Primera Revolución Industrial, que tuvo su inicio en la segunda mitad del Siglo XVIII, conllevó un aumento del uso de los recursos energéticos que no se ha detenido para llegar a los niveles de desarrollo tecnológico, industrial y de calidad de vida, de los que se dispone en la actualidad. A simple vista podría intuirse que para disponer de un mayor nivel tecnológico, industrial, de confort, etc. sea necesario un mayor consumo de energía primaria. La actual generación de energía está principalmente basada en el procesamiento de los diversos compuestos del carbono (hidrocarburos, gases y productos derivados del petróleo), que son contaminantes y además, se agotan. Desde hace unas pocas décadas, la humanidad ha sido consciente que es necesario generar energía a partir de fuentes de origen renovable, y que además resulten menos contaminantes. Así, en la actualidad, se ha llegado a un estado de desarrollo avanzado para la explotación de diversas fuentes de energías como la eólica, a la vez que se comienza a mirar con realismo la posibilidad de explotación de diversas energías de origen marino. Se considera que las energías renovables procedentes de los océanos que se encuentran más desarrolladas tecnológicamente hablando, sin tener en cuenta la energía eólica fuera costa (offshore), son la denominada energía undimotriz o de las olas y la energía de las corrientes marinas, no necesariamente en este orden. El trabajo propuesto en esta Tesis se centra en este último recurso energético y, aunque no se dispone todavía de ningún dispositivo en fase de explotación comercial, la concepción, diseño y desarrollo de dispositivos para la extracción de energía de las corrientes, y su evolución, han sido relativamente rápidos e importantes en estos últimos años. Existen ya diferentes dispositivos en fase de pruebas con resultados muy prometedores. Aunque los dispositivos actuales se encuentran limitados a la explotación energética en zonas de poca profundidad, los diferentes estudios del recurso indican la necesidad de explotar corrientes marinas a mayores profundidades, para lo que se están desarrollando actualmente dispositivos, cuya evolución en lo que a sistemas de fondeo se refiere, está siendo muy parecida a la que se ha producido en los parques eólicos fuera costa, similar a su vez, a la evolución llevada a cabo en las plataformas oceánicas para la explotación de recursos petrolíferos (denominados oil & gas) que se extraen de profundidades cada vez mayores. Las soluciones tecnológicas que resulten válidas han de ser también económicamente viables, y en la actualidad se requiere todavía reducir costos en todas las fases de instalación, explotación y mantenimiento de estos dispositivos, sea cual sea su profundidad de operación. Uno de los focos de estudio para abaratar los costes de explotación en general, pasa por abaratar y reducir los costes en las maniobras necesarias de inmersión (de la superficie del mar a la profundidad de operación) y emersión (de la profundidad de operación a la superficie del mar) de estos dispositivos, para llevar a cabo tareas de mantenimiento in situ, en el mar, y sin necesidad de buques especializados ni de su transporte a tierra. En esta Tesis se propone, en primer lugar, un método para evaluar el ciclo de vida de diversos dispositivos de aprovechamiento de las corrientes marinas. Se evidencia que el coste de la energía así generada sigue siendo no plenamente competitivo, por lo que se requiere avanzar en el abaratamiento de costes, principalmente en la instalación y en su mantenimiento. Para ello se propone como novedad principal, introducir sistemas de control en lazo cerrado para realizar maniobras de instalación y mantenimiento de forma automática. También se aporta un modelo dinámico original y muy sencillo para dispositivos bajo estos movimientos de emersión/inmersión, a partir del cual se han desarrollado los algoritmos de control para el propósito mencionado, que no es otro sino automatizar en todo lo posible las maniobras completas. Los algoritmos de control propuestos han sido validados mediante simulación. Se proponen trayectorias de referencia de movimiento suaves (smooth) similares a las utilizadas en robótica. Estos movimientos de cambios de profundidad en lazo cerrado, combinados con secuencias de movimientos en bucle abierto para cuando el dispositivo interacciona en la superficie libre, han dado lugar a nuevas maniobras completas de instalación y mantenimiento que se presentan en esta Tesis, diferentes a las actuales. Finalmente, y como justificación de la viabilidad económica del método novedoso aportado, se ha realizado un estudio comparativo de los costes de la tecnología propuesta, frente a la tecnología actual. Este nuevo sistema de maniobras automáticas implica un ciclo de vida diferente para los dispositivos de aprovechamiento de la energía de las corrientes, ciclo que se cuantifica a partir de un dispositivo base que ha sido modificado y adaptado para la nueva tecnología propuesta, demostrando su viabilidad tanto técnica como económica. ABSTRACT It’s well known that the First Industrial Revolution started in the second half of the eighteenth century, carried the increasing of the use of energy resource which have not been stopped until reach the present technology, industrial evolution and daily life quality. On the surface, it can be known intuitively that a higher consumption of primary energy resource is demanded for benefiting from a higher technological industrial and daily life level. Today, the generation of energy is mainly based in the processing of carbon products (hydrocarbons, gases and petroleum products) which are pollutants, and additionally, are depleted. From a few decades ago, the humanity is aware the energy should be obtained from renewable resources, which besides, should be cleaner. So, at the present, a technical develop has been gained to exploit several energy source, as wind energy, and, at the same time, the extraction of the marine energy starts to seem as a reality. The renewable marine energies considered more advanced and technically developed, without keeping in mind, the offshore wind energy, are the wave energy and the tidal current energy, not necessarily in that order. This Thesis is focused in this last energy resource, and, although, any device is under commercial operation, the concept, design and develop of this type of devices to extract the tidal current energy and their evolution has been comparatively fast and important the last years. There are several devices under test with promising results. Even through the current devices are limited to lower depth areas, the several studies of the tidal energy resource suggest the need to exploit the marine current at greater depths to what is being developed devices, where their evolution in the anchoring system is being very similar to the evolution performed in the offshore wind farms, which is at the same time, similar to the evolution in the oil and gas exploitation which are extracted to greatest depths. Viable technical solutions should be also viable economically and nowadays the cost in all phases of the project (installation, maintenance and operation) should be decreased whatever the operation depth is. One focus of study to lower the operation cost is the cost decreasing of immersion manoeuvring operations (from sea surface to the operation depth) and immersion manoeuvring operations (from operation depth to the sea surface), therefore the maintenance operations can be performed on – site, in the sea, and no specialized vessels are required to transport the devices from the sea to shore. In this dissertation, firstly is proposed a method to evaluate the life cycle of the tidal energy current devices. It is proved the energy generated by these devices is not fully competitive; therefore, the cost falling is mainly an objective in the installation and the maintenance operations. For that, it is proposed as main novelty, the using of closed loop control systems to perform the automatic installation and manoeuvring operations. It is also contributed with an original and simple dynamic model and for controlling the immersion/emersion movements of these devices, from which the control algorithms are developed in order to automate as much as possible the complete manoeuvring. The control algorithms proposed has been validated by simulations. Reference paths with smooth movements, similar which are used in robotics, are suggested. These movements to change the depth using closed loop control, combined with the sequences in open loop movements when the device is in free surface, have been development for a new complete manoeuvring to installation and maintenance operations which are advanced in this Thesis and they are different to the present manoeuvrings. Finally and as justification of the economic viability of this original method, a comparative cost study between the technology proposed and the current technology is performed. This new automatic manoeuvring system involves a different life cycle for the tidal energy current devices, cycle that is quantified from a base device which has been modified and adapted for the new proposed technology, showing the technical and economic viability.
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Deep brain stimulation (DBS) provides significant therapeutic benefit for movement disorders such as Parkinson’s disease (PD). Current DBS devices lack real-time feedback (thus are open loop) and stimulation parameters are adjusted during scheduled visits with a clinician. A closed-loop DBS system may reduce power consumption and side effects by adjusting stimulation parameters based on patient’s behavior. Thus behavior detection is a major step in designing such systems. Various physiological signals can be used to recognize the behaviors. Subthalamic Nucleus (STN) Local field Potential (LFP) is a great candidate signal for the neural feedback, because it can be recorded from the stimulation lead and does not require additional sensors. This thesis proposes novel detection and classification techniques for behavior recognition based on deep brain LFP. Behavior detection from such signals is the vital step in developing the next generation of closed-loop DBS devices. LFP recordings from 13 subjects are utilized in this study to design and evaluate our method. Recordings were performed during the surgery and the subjects were asked to perform various behavioral tasks. Various techniques are used understand how the behaviors modulate the STN. One method studies the time-frequency patterns in the STN LFP during the tasks. Another method measures the temporal inter-hemispheric connectivity of the STN as well as the connectivity between STN and Pre-frontal Cortex (PFC). Experimental results demonstrate that different behaviors create different m odulation patterns in STN and it’s connectivity. We use these patterns as features to classify behaviors. A method for single trial recognition of the patient’s current task is proposed. This method uses wavelet coefficients as features and support vector machine (SVM) as the classifier for recognition of a selection of behaviors: speech, motor, and random. The proposed method is 82.4% accurate for the binary classification and 73.2% for classifying three tasks. As the next step, a practical behavior detection method which asynchronously detects behaviors is proposed. This method does not use any priori knowledge of behavior onsets and is capable of asynchronously detect the finger movements of PD patients. Our study indicates that there is a motor-modulated inter-hemispheric connectivity between LFP signals recorded bilaterally from STN. We utilize a non-linear regression method to measure this inter-hemispheric connectivity and to detect the finger movements. Our experimental results using STN LFP recorded from eight patients with PD demonstrate this is a promising approach for behavior detection and developing novel closed-loop DBS systems.
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本文给出一开启式海洋机器人的水平面运动与垂直面运动的流体动力学模型,闭环控制,解耦设计和仿真结果。本文对海洋机器人控制系统设计,有一定参考价值。
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本文利用“最小响应法”给出了 N≥2阶无静差采样控制系统的设计公式.作者指出:对于某类闭环控制系统,在给定阶跃响应最大超调量σ_(max)的条件下,可以找出最佳比值T/T_(T 为系统的采样周期,T_(?)为对象的不便克服的等效小时间常数之和),使系统获得相应阶最大误差系数 K_(N+1),从而可使系统达到快速精密的控制指标。为了在工程设计中应用方便,文中还给出了二至六阶无静差的σ_(max),T/T_(?),K_(N+1)T(?)最佳参数组,使得这类闭环控制系统的设计最佳化和简易化.
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El soporte ventilatorio es una de las intervenciones más utilizadas en las unidades de cuidado intensivo. A pesar de su rol «salvador» puede ser un procedimiento riesgoso para el paciente si no es aplicado apropiadamente. Para disminuír los riesgos inherentes a la misma, modos ventilatorios avanzados continúan siendo desarrollados a fin de mejorar los desenlaces clínicos de los pacientes. Estos avances incluyen sistemas de control de asa cerrada, como el ASV, el cual se ajusta automáticamente a los requerimientos del paciente. Es importante el entendimiento de este novedoso modo ventilatorio por el personal médico, incluyendo sus efectos en la mecánica pulmonar. Este artículo discutirá sobre el modo de ventilación de soporte adaptativo haciendo énfasis particular en sus parámetros, ventajas y desventajas sobre la oxigenación y ventilación.
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The present work introduces a new strategy of induction machines speed adjustment using an adaptive PID (Proportional Integral Derivative) digital controller with gain planning based on the artificial neural networks. This digital controller uses an auxiliary variable to determine the ideal induction machine operating conditions and to establish the closed loop gain of the system. The auxiliary variable value can be estimated from the information stored in a general-purpose artificial neural network based on CMAC (Cerebellar Model Articulation Controller).
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This paper presents a new pre-regulator boost operating in the boundary area between the continuous and discontinuous conduction modes of the boost inductor current, where the switches and boost diode performing zero-current commutations during its turn-off, eliminating the disadvantages related to the reverse recovery losses and electromagnetic interference problems of the boost diode when operating in the continuous conduction mode. Additionally, the interleaving technique is applied in the power cell, providing a significant input current ripple reduction. It should be noticed that the main objective of this paper is to present a complete modeling for the converter operating in the critical conduction mode, allowing an improved design procedure for interleaved techniques with high input power factor, a complete dynamic analysis of the structure, and the possibility of implementing digital control techniques in closed loop.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)