Paper
9 May 2022 An improved sliding mode observer for sensor-less control of permanent magnet synchronous motor
YuHang Zhang
Author Affiliations +
Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 122520D (2022) https://doi.org/10.1117/12.2640049
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China
Abstract
For the traditional sliding mode observer usually chooses the sign switching function as the sliding mode surface, it is not continuous on the sliding mode surface, leading to serious chattering. In this paper, the sine function is selected as the sliding mode surface, thereby reducing the chattering of the system. A new phase-locked loop with built-in wave limiter is added to suppress the influence of the characteristic frequency disturbance signal in the identification of the back EMF on the rotor position. The simulation results show that the algorithm can effectively weaken the synovial observer chattering on the rotor position identification. The influence of the results verifies the correctness of the theoretical analysis in this paper and the effectiveness of the proposed strategy.
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YuHang Zhang "An improved sliding mode observer for sensor-less control of permanent magnet synchronous motor", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 122520D (9 May 2022); https://doi.org/10.1117/12.2640049
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KEYWORDS
Source mask optimization

Linear filtering

Sensors

Magnetic sensors

Switching

Switches

Inductance

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