Sensitivity to electrical parameter variations of Predictive Current Control in multiphase drives

Abstract

Model Based Predictive Current Control (MBPCC) techniques have been recently proposed as a viable control method for Voltage Source Converters (VSCs). Predictive torque and current control of electrical drives are drawing attention because of the good current tracking, flexible control design and reduced switching losses. The multiphase drive is an attractive proposition due to its usefulness in applications where high overall system reliability and reduction in the total power per phase are required. The predictive model of the drive is the core of the MBPCC technique and it depends on the knowledge of the parameters of the real system. Previous works assumed good agreement between parameters of the predictive model and the real machine, on the basis of the initial estimation of the electrical parameters using off-line procedures and the influence of the parameter variations on the drive performance has not been thoroughly investigated until now. This paper attempts to fill in this gap, by examining the impact of the variation of electrical parameter, used in the predictive model, on the performance of an asymmetrical six-phase induction motor drive.