期刊
ISA TRANSACTIONS
卷 116, 期 -, 页码 203-217出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2021.01.008
关键词
PMSM; Composite nonlinear feedback control; Integral sliding mode control; Sliding mode observer; Disturbance rejection
资金
- National Natural Science Foundation of China [51775543, 52005220, 62001195]
- Natural Science Foundation of Jiangsu Province, China [BK20180189]
- China Postdoctoral Science Foundation [2019M651962]
- Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions, China
The paper proposes a disturbance rejection control method for low-speed high-torque PMSM, which combines a robust speed controller and a load observer to address uncertainties and unknown external interferences in the system.
The low-speed high-torque permanent magnet synchronous motor (PMSM) drive system is a kind of typical nonlinear, strong-coupling and easy-parameter perturbation electromechanical coupling system. The control system is uncertainties and subject to unknown external interferences as well. In this paper, a disturbance rejection control method combining robust speed controller and load observer is proposed for low-speed high-torque PMSM. The robust speed controller combines the composite nonlinear feedback (CNF) which has advantage in improving the transient responsive performance and the integral sliding mode (ISM) advancing in improving system robustness. Subsequently, the effects of unknown external interferences are avoided by using a sliding mode observer (SMO), in which the chattering is reduced by introducing fuzzy control, and the observation is used for feed-forward compensation. The proposed robust speed controller solves the contradiction between the rapidity and overshoot of the traditional control method, and combines the load observer to compensate the influence of the load mutations and wide range of the load changes on the control system. Finally, the numerical simulation and experiments demonstrate that the proposed speed control method is able to achieve good transient performance in inhibiting system overshoot and reducing stable state error. Additionally, it successfully suppresses the influence of load disturbances and mutations, and shows the proposed method has better robustness. (C) 2021 Published by Elsevier Ltd on behalf of ISA.
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