Realization of position observation algorithm for permanent magnet synchronous motor based on fixed-point nonlinear flux model

Changjun He; Yiwen Zhang; Bosong Yan; Xicong Wang; Mingjiang Wang

doi:10.1117/12.2685755

15 August 2023 Realization of position observation algorithm for permanent magnet synchronous motor based on fixed-point nonlinear flux model

Changjun He, Yiwen Zhang, Bosong Yan, Xicong Wang, Mingjiang Wang

Author Affiliations +

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127194C (2023) https://doi.org/10.1117/12.2685755
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

The sensorless control algorithm of permanent magnet synchronous motor is a research hotspot in the field of motor control, and the position observer with excellent performance is a particularly important part. In this paper, we first review the current mainstream position observation algorithms, and then propose a position observation algorithm based on a fixed-point nonlinear flux model, which proposes a variable gain model and an observer compensation model. Finally, we simulated and verified the improved algorithm, and fixed the algorithm and implemented it on a microcontroller. The results show that the algorithm has higher accuracy of angle observation, faster convergence speed and lower computational complexity.

Citation Download Citation

Changjun He, Yiwen Zhang, Bosong Yan, Xicong Wang, and Mingjiang Wang "Realization of position observation algorithm for permanent magnet synchronous motor based on fixed-point nonlinear flux model", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127194C (15 August 2023); https://doi.org/10.1117/12.2685755

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