Control de sistemas SISO-LIT

Este libro aborda el control de sistemas lineales, invariantes en el tiempo, de una entrada y una salida, continuos y muestreados utilizando la función de transferencia, como formalismo de representación. Analiza la respuesta y estabilidad de sistemas de lazo abierto y cerrado, utilizando diversas metodologías de análisis. Asimismo, detalla diferentes técnicas para el diseño y compensación de sistemas de lazo cerrado a partir de especificaciones de respuesta deseada.Facultad de Ingenierí

Fundamentals of Sliding-Mode Control Design

This chapter provides an introduction to Variable Structure Control theory and its extension to the so-called Sliding-Mode (SM) control. The presentation is not intended as a comprehensive survey of the state-of-the-art in the field, but to supply the basic concepts on SM control required to understand the developments to come in this book. The readers can use this material as a straightforward introduction to the field of SM control.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señale

Efficiency Optimisation of an Experimental PEM Fuel Cell System via Super Twisting Control

A robust control solution is proposed to solve the air supply control problem in autonomous polymer electrolyte membrane fuel cells (PEMFC) based systems. Different second order sliding mode (SOSM) controllers are designed using a model of a laboratory test fuel cell generation system. Very good simulation results are obtained using such algorithms, showing the suitability of the SOSM approach to PEMFC stack breathing control. Subsequently, for experimental validation, a controller based on one of the previously assessed SOSM algorithms, namely a Super Twisting, is successfully implemented in the laboratory test bench. Highly satisfactory results are obtained, regarding dynamic behaviour, regulation error and robustness to uncertainties and external disturbances.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señale

Advances in HOSM Control Design and Implementation for PEM Fuel Cell Systems

A second order sliding mode strategy to control the air supply and oxygen stoichiometry of a fuel cell based generation system is presented. The control design is accomplished from a complete model of a experimental plant that was previously developed by the authors and specially suited for nonlinear control issues. The resulting controller endows the system with enhanced dynamic characteristics and robustness to model uncertainties and external disturbances. Simulations and experimental results are provided, showing the feasibility and reliability of the approach.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señale

Efficiency Optimisation of an Experimental PEM Fuel Cell System via Super Twisting Control

A robust control solution is proposed to solve the air supply control problem in autonomous polymer electrolyte membrane fuel cells (PEMFC) based systems. Different second order sliding mode (SOSM) controllers are designed using a model of a laboratory test fuel cell generation system. Very good simulation results are obtained using such algorithms, showing the suitability of the SOSM approach to PEMFC stack breathing control. Subsequently, for experimental validation, a controller based on one of the previously assessed SOSM algorithms, namely a Super Twisting, is successfully implemented in the laboratory test bench. Highly satisfactory results are obtained, regarding dynamic behaviour, regulation error and robustness to uncertainties and external disturbances.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señale

Advances in HOSM Control Design and Implementation for PEM Fuel Cell Systems

A second order sliding mode strategy to control the air supply and oxygen stoichiometry of a fuel cell based generation system is presented. The control design is accomplished from a complete model of a experimental plant that was previously developed by the authors and specially suited for nonlinear control issues. The resulting controller endows the system with enhanced dynamic characteristics and robustness to model uncertainties and external disturbances. Simulations and experimental results are provided, showing the feasibility and reliability of the approach.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señale

Neuro-Controllers, scalability and adaptation

A Layered Evolution (LE) paradigm based method for the generation of a neuron-controller is developed and verified through simulations and experimentally. It is intended to solve scalability issues in systems with many behavioral modules. Each and every module is a genetically evolved neuro-controller specialized in performing a different task. The main goal is to reach a combination of different basic behavioral elements using different artificial neural-network paradigms concerning mobile robot navigation in an unknown environment. The obtained controller is evaluated over different scenarios in a structured environment, ranging from a detailed simulation model to a real experiment. Finally most important implies are shown through several focuses

The quantum CP-violating kaon system reproduced in the electronic laboratory

The equivalence between the Schrödinger dynamics of a quantum system with a finite number of basis states and a classical dynamics is realized in terms of electric networks. The isomorphism that connects in a univocal way both dynamical systems was applied to the case of neutral mesons, kaons in particular, and the class of electric networks univocally related to the quantum system was analysed. Moreover, under CPT invariance, the relevant-parameter that measures CP violation in the kaon system is reinterpreted in terms of network parameters. All these results were explicitly shown by means of both a numerical simulation of the implied networks and by constructing the corresponding circuits.Instituto de Física La PlataInstituto de Investigaciones en Electrónica, Control y Procesamiento de Señale

Estudio de algoritmos 2-deslizantes aplicados al control de pilas de combustible

En este trabajo se hace un estudio comparativo de tres diferentes técnicas de control por modo deslizante de segundo orden, aplicadas al problema específico del control de respiración de una pila de combustible PEM. Los algoritmos diseñados se contrastan por simulación utilizando el modelo completo del sistema, poniendo particular énfasis en la respuesta transitoria y la robustez frente a perturbaciones.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señale

Neuro-Controllers, scalability and adaptation

A Layered Evolution (LE) paradigm based method for the generation of a neuron-controller is developed and verified through simulations and experimentally. It is intended to solve scalability issues in systems with many behavioral modules. Each and every module is a genetically evolved neuro-controller specialized in performing a different task. The main goal is to reach a combination of different basic behavioral elements using different artificial neural-network paradigms concerning mobile robot navigation in an unknown environment. The obtained controller is evaluated over different scenarios in a structured environment, ranging from a detailed simulation model to a real experiment. Finally most important implies are shown through several focuses.Red de Universidades con Carreras en Informática (RedUNCI