Design of Lumped Disturbance Observer in Current Loop of IPMSM Based on Recursive Integral Sliding Mode Surface

Yongxiao Teng, Qiang Gao (), Xuehan Chen and Dianguo Xu
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Yongxiao Teng: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Qiang Gao: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Xuehan Chen: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Dianguo Xu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2024, vol. 17, issue 4, 1-16

Abstract: To overcome the problem of current control effect being reduced by unideal factors in a motor control system, such as motor parameter variation, inverter dead time, nonlinearity of the system, etc., a sliding mode disturbance observer for an interior permanent magnet synchronous motor is proposed in this paper. The model of an interior permanent magnet synchronous motor with unideal factors is designed, and the unideal factors are unified into lumped disturbances of motor stator voltage. Then, the observer for lumped disturbance is designed. A recursive integral sliding surface is used to replace the terminal sliding surface to avoid the noise sensitivity and singularity problem of the traditional terminal sliding mode observer. The observer can estimate the lumped disturbance of the current loop without relying on the accurate system model in finite time. Moreover, the structure of the current loop does not need to be adjusted while using the observer to observe and compensate for disturbances. Experiments are carried out to verify the effectiveness of the proposed observer.

Keywords: disturbance estimate; sliding mode disturbance observer; recursive integral sliding surface; interior permanent magnet synchronous motor (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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