Sensitivity to Parameter Mismatch in a Bi-Subspace Predictive Current Control Strategy for Six-Phase PMSM Drives

The application of finite control set model predictive control (FCS-MPC) to multiphase electric drives has been widely studied in recent years due to its enhanced transient performance, simple structure, and low tuning requirements. However, the selection of the optimal control actuation by FCS-MPC strategies relies on the accuracy of the system model, which depends on the knowledge of the parameters of the machine. Moreover, depending on the operating conditions of the electric drive, the parameters of the machine also change during operation due to thermal and saturation effects. Hence, this paper studies the sensitivity of parameter mismatch in the bi-subspace predictive current control strategy based on virtual vectors (BSVV-PCC) applied to a six-phase permanent magnet synchronous machine (PMSM) drive. Several simulation results are provided to analyze the impact on the performance of the drive caused by a variation of the machine parameters used in the prediction model of the control strategy.

I. Introduction

Multiphase machines have interesting advantages over traditional three-phase machines, such as higher fault tolerance, reduced power ratings per phase, and lower torque ripple [1]. Multiphase machines with multiple sets of three-phase windings are an interesting solution for industrial applications since they maintain compatibility with standard three-phase power converters [2], [3]. Among these, the six-phase machine is the most studied topology due to its simpler structure [4].