Torque ripple reduction using adaptive gain model predictive control for induction motor drives

Abstract This article introduces a new method for induction motor speed control based on predictive control. The presented method is a modified type of model predictive control (MPC) to improve the performance and reduce the torque ripple of the induction motor. Its basis is to consider magnitude changes in the voltage vector to be applied to the motor in each sector. To validate the effectiveness of the proposed scheme, an experimental setup has been established on a prototype induction motor (IM) drive built on a Texas Instrument TMS320F28335 floating point Digital Signal Processor (DSP) board. The results of the proposed MPC demonstrates even more than 30% better performance on the IM compared to the conventional MPC in most cases.