A genetic algorithm approach to design flux observer for induction servo motors

In this paper we present a new approach to the design of robust flux observer for induction servomotors. The novelty lies in adopting a genetic algorithms to synthesise a flux observer which is robust against very large perturbations of machine model parameters and different operational conditions. By means of a suitable object function associated to any flux observer it is possible to compare the performances of a population of observers. The genetic algorithm, by means of the mechanism of natural selection and natural genetics drives the evolution of the observer population until an optimal robust flux observer is emerged.<
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