Sensorless control of fault‑tolerant permanent magnet vernier rim‑driven motor based on improved model reference adaptive system


Vol. 25, No. 4, pp. 687-697, Apr. 2025
10.1007/s43236-024-00920-3




 Abstract

To enhance the accuracy of rotor position and speed estimation in the sensorless vector control system of a fault-tolerant permanent magnet vernier rim-driven motor (FTPMV-RDM), a fuzzy fast super-twisting algorithm based model reference adaptive system (FFSTA-MRAS) method is proposed. A full-order current observer is designed to improve the estimation accuracy in an adjustable model in a FFSTA-MRAS. It incorporates the adjustable model and a calibration link to form a closed-loop estimation by introducing a correction term. The proportional integral (PI) adaptive law in a conventional MRAS is substituted with a fast super-twisting algorithm. To overcome the difficulty of selecting the sliding mode gain parameters in the fast super-twisting algorithm, a fuzzy control algorithm is introduced to obtain a reasonable sliding mode gain in real time, which can solve the contradictory problem of accuracy and chattering. Finally, a hardware experimental platform utilizing a StarSim controller is developed and experimental results demonstrate that the proposed method has superiority in terms of accurate estimation and minimum chattering under both healthy and one phase open-circuit fault conditions.


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Cite this article

[IEEE Style]

T. Zhao, J. Zhu, Q. Liu, J. Wu, Y. Cai, "Sensorless control of fault‑tolerant permanent magnet vernier rim‑driven motor based on improved model reference adaptive system," Journal of Power Electronics, vol. 25, no. 4, pp. 687-697, 2025. DOI: 10.1007/s43236-024-00920-3.

[ACM Style]

Tianrui Zhao, Jingwei Zhu, Qing Liu, Jun Wu, and Yaqian Cai. 2025. Sensorless control of fault‑tolerant permanent magnet vernier rim‑driven motor based on improved model reference adaptive system. Journal of Power Electronics, 25, 4, (2025), 687-697. DOI: 10.1007/s43236-024-00920-3.