Low-Complexity Deadbeat Model Predictive Current Control With Duty Ratio for Five-Phase PMSM Drives

Abstract

Model predictive control (MPC) is considered as a promising control strategy for power electronic converters and drive systems due to its merits of simplicity, fast-dynamic response, and multi-variable control flexibility. However, the variable switching frequency and the large computational burden represent serious problems for applying MPC in high-power multi-phase converters and drive systems. This article introduces a low-complexity model predictive current control (MPCC) for five-phase permanent magnet synchronous machine (PMSM) with constant switching frequency based on the deadbeat (DB) principles. To avoid the full enumeration process, the proposed method calculates the reference voltage vector using the DB technique, considering one-step delay compensation. The information of the reference voltage is used to select the best approximation for the reference voltage from the enhanced control set with virtual voltage vectors (V3), which eliminate the third-harmonic phase voltage and phase current components. Moreover, the optimal duty ratio is calculated to fit the selected voltage vector on the reference voltage vector. The proposed control strategy is compared with three existing MPC techniques. The effectiveness of the proposed MPCC strategy is validated using MATLAB simulation and hardware-in-the-loop results.