Sensorless control system of surface permanent magnet synchronous motor based on improved sliding mode observer

Rencheng Jin; Mingqian Sun; Peiqing Xiao; Ji Chen

doi:10.1117/12.2681095

23 May 2023 Sensorless control system of surface permanent magnet synchronous motor based on improved sliding mode observer

Rencheng Jin, Mingqian Sun, Peiqing Xiao, Ji Chen

Author Affiliations +

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126455K (2023) https://doi.org/10.1117/12.2681095
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

This article presents a sensor-less control strategy of Surface Permanent Magnet Synchronous Motor (SPMSM) in full speed operations. To realize closed-loop control of currents and velocity in middle-to-high speed, a Sliding Mode Observer (SMO) is designed to estimate the rotor position and velocity which is provide for Field-Oriented Control (FOC). To suppress the high frequency chattering induced by signum function, an improved SMO based on saturation function control law is adopted. Because the SMO based on back-electromotive force to extract rotor position failed to start up SPMSM and inaccurate to estimate rotor position and speed in zero-to-low range, a startup strategy based on mechanical rotor alignment and I/F scheme is proposed. After the rotate velocity is high enough, the system transitions to the sensor-less FOC based on improved SMO. The designed control system is simulated using MATLAB/Simulink. The simulation results demonstrate that the system can realize the speed regulation of SPMSM in full speed domain, and the improved SMO has high precision of estimation, strong robustness and small chattering in medium-to-high speed operations.

Citation Download Citation

Rencheng Jin, Mingqian Sun, Peiqing Xiao, and Ji Chen "Sensorless control system of surface permanent magnet synchronous motor based on improved sliding mode observer", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126455K (23 May 2023); https://doi.org/10.1117/12.2681095

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