Model Predictive Torque Control With SVM for Five-Phase PMSM Under Open-Circuit Fault Condition

Abstract

This article proposes a novel model predictive torque control combined with space vector modulation (SVM) to enhance the fault-tolerant performance of a five-phase permanent magnet synchronous motor under open circuit fault. Inherited the merits of MPC and SVM, a joint control of different subspaces and enhancement of steady-state performance can be achieved by the proposed strategy. For the harmonic regulation, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x–y</i> currents are predicted and restricted together with the torque and the stator flux-linkage. The SVM method is implemented in terms of the voltage vector selection and synthesis. The nonzero switching states, which generate a larger voltage vector in the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">α–β</i> subspace, are selected as the candidate states to suppress the harmonic voltage. During the vector synthesis process, two arbitrary voltage vectors in the quadrant where the desired voltage vector locates are considered as the active voltages. Consequently, the best vector synthesis and dwell time are obtained by optimizing the cost function. The effectiveness of the proposed method has been validated by comparative experiments.