Contribution La Commande Robuste De La Machine Induction
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Modeling, Identification and Control Methods in Renewable Energy Systems
Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or “models”. “Identification” provides mechanisms to establish the models and “control” provides mechanisms to improve system performances. This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.
Electrical Machines Diagnosis
Author: Jean-Claude Trigeassou
language: en
Publisher: John Wiley & Sons
Release Date: 2013-02-07
Monitoring and diagnosis of electrical machine faults is a scientific and economic issue which is motivated by objectives for reliability and serviceability in electrical drives. This book provides a survey of the techniques used to detect the faults occurring in electrical drives: electrical, thermal and mechanical faults of the electrical machine, faults of the static converter and faults of the energy storage unit. Diagnosis of faults occurring in electrical drives is an essential part of a global monitoring system used to improve reliability and serviceability. This diagnosis is performed with a large variety of techniques: parameter estimation, state observation, Kalman filtering, spectral analysis, neural networks, fuzzy logic, artificial intelligence, etc. Particular emphasis in this book is put on the modeling of the electrical machine in faulty situations. Electrical Machines Diagnosis presents original results obtained mainly by French researchers in different domains. It will be useful as a guideline for the conception of more robust electrical machines and indeed for engineers who have to monitor and maintain electrical drives. As the monitoring and diagnosis of electrical machines is still an open domain, this book will also be very useful to researchers.
Contribution à la commande robuste de la machine à induction
Author: Hadda Benderradji
language: fr
Publisher: Presses Academiques Francophones
Release Date: 2014-03-14
L'objectif principal de ce travail est de contribuer a la commande robuste et a l'observation des variables d'etats de la machine asynchrone. Ensuite de passer a la validation sur banc d'essai experimental. Dans la premiere partie, une presentation rapide de la commande vectorielle classique a ete abordee. De nouvelles approches de commandes lineaires et non lineaires sont proposees afin d'ameliorer les performances obtenues. Il s'agit plus precisement de la commande par mode glissant classique et d'ordre deux ainsi que la commande H . La deuxieme partie est consacree a l'observation des variables d'etats de la machine, en l'occurrence le flux rotorique et la vitesse mecanique. Deux commandes sans capteur mecanique basees sur des structures MRAS et les modes glissants d'ordre deux sont presentees et validees sur un banc d'essai experimental. Dans ce cadre, un nouvel algorithme a ete propose, base sur le supertwisting pour garantir simultanement la convergence vers zero en un temps fini de la surface de glissement et la reduction du phenomene de broutement."