Torque Ripple Reduction of Model Predictive Controlled Five-Phase PMSM Drives With Open-Circuit Faults
Jiachen Du, Wentao Huang, Xiaofeng Zhu, Liyan Luo, Qigao Fan
Abstract
In this article, a fault-tolerant model predictive current control (MPCC) method is proposed to improve the fault-tolerant ability of a five-phase permanent synchronous magnet motor drive under single and multiple open-circuit faults (OCFs) operations. On the principle of the optimal current control (OCC), general reference currents are derived to suppress torque ripples. To obtain the reference currents, a fast Fourier transformation (FFT)-based current estimation model is established. The torque ripple can be reduced by modifying the reference currents in the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$d_{3}q_{3}$ </tex-math></inline-formula> -axis transformed from the estimation model. Finally, experimental results validate the effectiveness of the developed fault-tolerant control strategy and the robustness against operating points and motor parameter mismatches.