Author(s)

Duquan Zuo ^1,2, Jie Liu ¹, Huifang Li ³, Tao Wang ³, Yingjie Li ³

Affiliation(s)

¹ College of Aviation Engineering, Civil Aviation Flight University of China, Guanghan, China
² College of Mechanical Engineering, Chongqing Three Gorges University, Chongqing, China; Huzhou Yueqiu Motor Co., Ltd., Huzhou, China
³ Huzhou Yueqiu Motor Co., Ltd., Huzhou, China

Corresponding Author

Duquan Zuo

ABSTRACT

Aiming at sensorless control system of surface attached permanent magnet synchronous motor (SPMSP), three observation algorithms proposed in recent years to estimate rotor position and speed under medium-high speed operation were introduced in this paper. The working principles, advantages and disadvantages of these algorithms such as the Extended Kalman filter algorithm (EKF), Model Reference Adaptive System (MRAS) and Sliding Mode Observer (SMO) were compared, and the applicability of these three algorithms on SPMSP at present was compared and summarized. Furthermore, a sensorless control strategy based on improved SMO was designed to ensure sensorless control effect under medium-high speed operation of SPMSM.

KEYWORDS

SPMSM, Medium-to-high speed, Sliding mode observer, Sensorless, Rotor position estimation

CITE THIS PAPER

Duquan Zuo, Jie Liu, Huifang Li, Tao Wang, Yingjie Li, A Comparison Research on Sliding Mode Observation Methods for SPMSM in Sensorless Environment of Medium-to-High Speed. Journal of Electronics and Information Science (2023) Vol. 8: 28-35. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2023.080104.

REFERENCES

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