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A Geno-Fuzzy Fast Attitude Controller for Satellites Stabilized by Reaction Wheels

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Fuzzy-based controller has many parameters that govern its performance which complicate the design process of this type of controllers. In this paper, a systematic procedure is proposed to design an optimal fuzzy logic controllers (FLC) for dynamical systems by the method of genetic algorithms. Then, this procedure is implemented to design a control system for three-axis satellites stabilized by reaction wheels. The parameters of FLC which include the rules and the distributions of membership functions are determined based on solving an optimization problem by minimizing a performance index. To get accurate pointing, longlife time and fast response for the satellite, the performance index includes the deviation of the satellite from its nominal position, the consumed power and the time of deviation. The simulations results show that the proposed technique was able to determine all the FLC parameters and generate a controller with a satisfactory performance.
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Fuzzy Logic; Genetic Algorithms; Satellite; Attitude control

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