volume | PIER Journals

Abstract

Aiming at the issues of drive signal errors and high computational complexity in conventional model predictive control, a virtual vector modulation-based model predictive control (DSO-VVMMPC) strategy with drive signal optimization for quasi-Z-source inverter-fed permanent magnet synchronous motor (QZSI-PMSM) system is proposed in this paper. In the proposed strategy, the drive pulses are generated by the combined effect of straight-through voltage vectors (ST VVs) and non-straight-through (NST) VVs over one control period to reduce the ripples of inductor current and stator current. Firstly, the accurate drive signals can be obtained by applying deadbeat algorithm to calculate and correct. The judgment of which sector the reference voltage vector is in and the construction of a cost function for finding the optimal objective are not required. Thus, the computational burden of control system is reduced significantly. In addition, the drive signals are optimized to output to reduce the effect of minimum pulse width on the accuracy of deadbeat algorithm. The steady-state performance of proposed strategy is further improved. Finally, the feasibility and effectiveness of proposed strategy are confirmed by conducting comparative experiments on the RT-LAB experimental platform.

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Dr. Yang Zhang

Dr. Kun Cao

Dr. Yang Gao

Mr. Ping Yang

Dr. Xingwang Chen

Dr. Zhun Cheng