In this paper we present a new approach to the design of robust flux observer for induction servo motors. 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.
A genetic algorithm approach to design flux observer for induction servo motors / Franceschini, G.; Piazzi, A.; Tassoni, C.. - 3:(1994), pp. 2132-2136. (Intervento presentato al convegno Proceedings of the 20th International Conference on Industrial Electronics, Control and Instrumentation. Part 1 (of 3) tenutosi a Bologna, Italy, null nel 1994).
A genetic algorithm approach to design flux observer for induction servo motors
Franceschini, G.;
1994
Abstract
In this paper we present a new approach to the design of robust flux observer for induction servo motors. 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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