Adaptive Current Angle Compensation Control Based on the Difference in Inductance for the Interior PMSM of Vehicles

Liying Zhang, Zongze Cui (), Tingchen Hou, Rui Zhang, Wei Hao and Liwei Song
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Liying Zhang: Heilongjiang University of Industry and Business, Harbin 150001, China
Zongze Cui: Heilongjiang Dewo Technology Development Co., Ltd., Harbin 150001, China
Tingchen Hou: Heilongjiang Dewo Technology Development Co., Ltd., Harbin 150001, China
Rui Zhang: Harbin Institute of Technology, Harbin 150001, China
Wei Hao: Harbin Institute of Technology, Harbin 150001, China
Liwei Song: Harbin Institute of Technology, Harbin 150001, China

Energies, 2024, vol. 17, issue 19, 1-14

Abstract: Achieving good performance in terms of a fast and accurate maximum torque per ampere (MTPA) control method depends on both accurate parameter estimation and a sophisticated control strategy. However, it often requires a complex and long computational process. This paper proposes an efficient control method using the relationship of torque and current angle for maximum torque per ampere control of the interior permanent magnet synchronous motor (IPMSM) for vehicle application. It was found that it is not necessary for the control method to determine the inductance in the d-q axes; the identification of the difference between each axis is enough. Furthermore, this paper presents a simple and effective procedure to estimate the difference in inductance online, where the linear iron loss calculation method is also designed to support the above process. The proposed control method was experimentally validated on a 5 kW prototype by a TMS320F28335 microcontroller and DSPACE synchronized with a personal computer. The results show that the control process has faster and more accurate performance than the conventional method.

Keywords: current vector angle; interior permanent magnet synchronous motor (IPMSM); maximum torque per ampere; difference of inductance (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: 2024
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