Study of rotor position estimation algorithm based on back-EMF voltage for dual-winding fault-tolerant permanent magnet motor

Liu, Yonghan; Zhu, Jingwei; Wang, Zhibin; Liang, Yan

doi:10.1080/00051144.2022.2051975

Cited by 2 publications

(1 citation statement)

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“…The sensorless rotor position acquisition of the PMSM mainly depends on the back electromotive force (EMF) estimation of the system [4]. As an effective position estimation method, the sliding-mode observer (SMO) has the advantages of a simple algorithm and strong robustness.…”

Section: Introductionmentioning

confidence: 99%

Research on Permanent Magnet Synchronous Motor Sensorless Control System Based on Integral Backstepping Controller and Enhanced Linear Extended State Observer

et al. 2023

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The traditional sensorless control system of permanent magnet synchronous motor (PMSM) has the problems of low estimation accuracy and poor anti-interference ability. Moreover, the position estimation performance is subjected to position harmonic ripples caused by inverter nonlinearities and flux spatial harmonics. To optimize the dynamic performance of the PMSM sensorless control system, this paper proposes a sensorless control scheme that combines integral backstepping control with enhanced linear extended state observer (ELESO). The ELESO consists of two linear extended state observers (LESOs), which estimate the internal and external disturbances of the system, to improve the estimation accuracy of rotor position. Then, the integral backstepping controller processes the estimated rotor position and speed information to obtain d and q-axis voltages. The sensorless control scheme is implemented in the Matlab/Simulink and verified by experiments. The simulation and experiment show that the scheme can effectively suppress load interference and improve control accuracy.

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Section: Introductionmentioning

confidence: 99%