A Novel Model Predictive Direct Torque Control Method for Improving Steady-State Performance of the Synchronous Reluctance Motor

Yuanzhe Zhao, Linjie Ren, Zhiming Liao and Guobin Lin
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Yuanzhe Zhao: Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Shanghai 201804, China
Linjie Ren: Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Shanghai 201804, China
Zhiming Liao: National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804, China
Guobin Lin: National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804, China

Energies, 2021, vol. 14, issue 8, 1-18

Abstract: Due to the particularity of the synchronous reluctance motor (SynRM) structure, a novel high-performance model predictive torque control (MPTC) method was proposed to reduce the high torque ripple and improve the performance and efficiency of the motor. First, the precise parameters of the SynRM reflecting the magnetic saturation characteristics were calculated using finite element analysis (FEA) data, and the torque and flux linkage maximum torque per ampere (MTPA) trajectory was derived by considering the saturation characteristics. Then, an MPTC model of a SynRM with duty cycle control was established, the MTPA trajectory stored in a look-up table was introduced into the control model, and the duration of the active voltage vector in one control cycle was calculated by evaluating the torque error. Finally, an experimental platform based on a SynRM prototype was built, and various performance comparison experiments were carried out for the proposed MPTC method. The experimental results show that the proposed method could reduce the torque ripple of the motor, the performance of the motor was significantly improved under various working conditions, and its correctness and effectiveness were verified.

Keywords: synchronous reluctance motor; torque ripple; model predictive torque control; duty cycle control; maximum torque per ampere (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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