Noise Suppression and Performance Enhancement Field-Oriented-Controlled Induction Machine Drive System with Model-Predictive-Controllers

Abstract

This study presents an innovative solution to alleviate the detrimental effects of noise in the speed sensor of a field-oriented-controlled induction motor drive system. The proposed methodology employs two model predictive controllers; one is utilized for a reference-torque generator, while the other is implemented for the reference-flux. The former controller guarantees the stability of the system, whereas the latter suppresses the noise of the drive system. This investigation illustrates the efficacy and superiority of these model predictive controllers by contrasting their performance with that of conventional proportional-integral controllers.