Intelligent Control Based on Adaptative Fuzzy Logic for Permanent Magnet Synchronous Machine

Abstract

This work presents a study of modeling and speed control by fuzzy logic of the synchronous machine with permanent magnets in order to regulate the number of revolutions of the machine in an objective to synthesize the fuzzy regulator and its laws of orders. This order only calculated starting from the two values, the error and its variation showed of its performances and its effectiveness in the regulation the speed by the total rejection of the disturbance. In other, to guarantee a stable and fast dynamics speed under all the operating conditions, one proposed for the regulation of this one a fuzzy regulator with adapted profit ready to compensate for all external disturbances. The results of simulation obtained showed the strong robustness of this regulator in particular regarding the variation of the parameters of the machine, with the detriment of the dynamic performances speed which attenuate slightly.