An Improved Two-Vector Model Predictive Torque Control Based on RMS Duty Ratio Optimization for PMSM

Abstract

This paper proposes an improved two-vector modelpredictive torque control (MPTC) strategy to reduce the average torque ripple and improve the flux tracking performance. When determining the duty ratio of vector combination, this method aims at restricting the root mean square (RMS) error of both torque and flux during the whole control period. Every vector combination and corresponding time duration are evaluated in the cost function, which leads to global restriction of torque ripple and flux ripple. In order to avoid increasing switching frequency and computational burden, a restriction is added on the second vector. The three candidates of the second vector are the two adjacent vectors of the first one and zero vector. Simulation results are provided to show the effectiveness of the proposed strategy.

A Novel Torque Boundary-Based Model Predictive Torque Control for PMSM Without Weighting Factor

“…To lower the average torque ripple and flux ripple, an RMS based MPTC strategy was proposed in [17]. In this strategy, an RMS based solution was introduced to determine the time duration of the two voltage vectors to be applied.…”