Robust Speed and Current Control With Parametric Adaptation for Surface-Mounted PMSM Considering System Perturbations

被引:40
作者
Xia, Jinhui [1 ]
Li, Ze [1 ]
Yu, Donghui [1 ,2 ]
Guo, Yuanbo [1 ]
Zhang, Xiaohua [1 ]
机构
[1] Dalian Univ Technol, Sch Elect Engn, Dalian 116024, Peoples R China
[2] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Robustness; Rotors; Disturbance observers; Torque; Stators; Robust control; Perturbation methods; Adaptive robust control; disturbance observer; parameter estimation; permanent magnet synchronous machine (PMSM); STRATEGY; DESIGN;
D O I
10.1109/JESTPE.2020.3015288
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Permanent magnet synchronous machines (PMSMs), which include a dynamic combination of electronics and mechanics, have been widely deployed in emerging mechatronics systems. However, there exist undesirable perturbations in the electrical and mechanical parameters of the PMSM with different operating conditions, which deteriorate the control performance and pose risks to the connected power conversion systems. To improve the robustness of PMSM control considering multiple system perturbations, a robust control strategy with parametric adaptation is established in this article, where a desired-compensation adaptive robust current controller and a disturbance-observer-based speed controller are proposed. Such controls are capable of achieving robust regulations of stator currents and rotor speed, while accurately estimating machine parameters including stator resistance, stator inductance, and flux linkage of the permanent magnet. When these parameters drift away from their nominal values, the observers/estimators of the proposed algorithms calibrate the prestored data and compensate for the control errors, and thus the control behavior of the PMSM under parameter mismatches will not degrade. A current and speed cascaded control system is configured to integrate the proposed algorithms for robustness considerations of the PMSM. Extensive simulations and experimental results are demonstrated to validate the effectiveness of the proposed robust control strategies.
引用
收藏
页码:2807 / 2817
页数:11
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