Comparative study between the conventional regulators and fuzzy logic controller: application on the induction machine

This paper proposes a new application approach for robust speed control induction machine using the equivalence modal principle. Indeed, the majority of the classic methods of regulation are ineffective in front of the variation of the parameters and uncertainties which can affect the model of the asynchronous machine. In order to get rid of this draw backs, an association of the fuzzy logic regulators with a strategy of vector control, applied to the asynchronous machines, is presented in this paper. Indeed, this law of control lends itself well to the regulation and the controlling of process with variable parameters during the time. A comparative study of the indirect stator flux orientation control of induction motor drive by classic regulators (Integral Proportional (IP) and Proportional Integral (PI)) and fuzzy logic controller (FLC) is presented. The robustness between these two regulators was tested and validated under simulations with the presence of variations of the parameters of the machine, in particular the rotor time-constant and face of disturbances of load torque. In the objective of the real-time implementation of the regulator FLC, a neuro-fuzzy version is also presented.