SPMSM Sensorless Control System Based on ASMO
Author(s) -
Yu Cao,
Chuang Liu
Publication year - 2022
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2022/6196321
Subject(s) - control theory (sociology) , observer (physics) , matlab , mode (computer interface) , sliding mode control , rotor (electric) , control engineering , computer science , counter electromotive force , engineering , control (management) , nonlinear system , voltage , artificial intelligence , physics , operating system , mechanical engineering , electrical engineering , quantum mechanics
Aiming at the chattering problem of traditional sliding mode observer (SMO) in surface-mounted permanent magnet synchronous motor (SPMSM) control system when estimating rotor position and speed and adaptive sliding mode observer (ASMO) is designed in this paper. The observer can reduce chattering and avoid the introduction of the low-pass filter, which simplifies the system structure, considering the difficulty in determining the sliding mode gain of the existing sliding mode observer, and an adaptive law is designed to adjust the sliding mode gain with the change of the back electromotive force, to meet the operation requirements of the system and improve the control accuracy of the sensorless control system. Finally, the simulation is built through Matlab/Simulink platform. It is proved that the proposed control strategy can satisfy the system’s accuracy and simultaneously reduce the chattering and solve the problem that the gain is difficult to determine.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom