Fuzzy vector control of induction motor

Sid Ali Rafa, Abdelkader Larabi, L. Barazane, Malik Manceur, Najib Essounbouli, Abdelaziz Hamzaoui · 2013

The aim of this paper consists of presenting a new approach to control an induction motor using type-1 fuzzy logic. The induction motor has a nonlinear model, uncertain and strongly coupled. The vector control technique, which is based on the inverse model of the induction motors, solves the coupling problem. Unfortunately, in practice this is not checked because of uncertainties in the model. Indeed, the presence of uncertainties led us to use the techniques of fuzzy logic. This technique is used to replace the block of field orientated control with a new block control its role is to maintain the decoupling and overcome the problem of robustness with respect to the parametric variations. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling. However, the choice for the Fuzzy vector control appears advantageous from the point of view robustness.

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