Finite-Set Model Predictive Control Scheme With an Optimal Switching Voltage Vector Technique for High-Performance IPMSM Drive Applications

Abstract

This paper investigates a high-performance finite-set model predictive control (FS-MPC) based on an optimal switching voltage vector technique for voltage-source inverter (VSI)-fed interior permanent magnet synchronous motor (IPMSM) drives. The proposed algorithm clamps one switch that supplies the largest phase current at each sampling interval while allowing the other two pole switches to remain active. Unlike the conventional FS-MPC scheme, the proposed scheme involves only two voltage vectors to obtain an optimal switching state with reduced switching losses and low computational cost without incorporating any additional parameters or constraints in the cost function. Thus, the proposed FS-MPC implemented on a DSP-based prototype exhibits high performance features (low switching losses and low harmonic distortion above rated speed) in constant torque and power regions. The experimental results on prototype VSI-fed IPMSM with TMS320F28335 are presented under various conditions to demonstrate the efficacy of the proposed scheme compared with the conventional FS-MPC.