Vector control of permanent magnet synchronous motor drive system based on new sliding mode control

被引:0
|
作者
Zhang, Yun [1 ]
Wu, Hao [1 ]
Chien, Ying-Ren [2 ]
Tang, Jingwei [3 ]
机构
[1] Nanjing Vocat Inst Transport Technol, Coll Elect & informat Engn, Nanjing 211100, Peoples R China
[2] Natl Ilan Univ, Dept Elect Engn, Yilan City 260007, Taiwan
[3] Hunan Coll Informat, Coll Mech & Elect Engn, Changsha 410200, Peoples R China
来源
关键词
Permanent magnet synchronous motor; genetic algorithm; vector control; Sliding mode control;
D O I
10.1587/lex.20.0230263
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
A new sliding mode speed controller (NSMC) based on an improved genetic algorithm (IGA) is proposed to solve the problems of disturbance rejection and response speed differences in traditional vector control of permanent magnet synchronous motor (PMSM) driver systems. The improved algorithm adopts an adaptive crossover and mutation probability formula, which enhances the global search ability of the genetic algorithm. The algorithm is used to optimize the parameters of the sliding mode speed controller. Moreover, the sliding mode disturbance observer is used to generate feedforward signals to compensate for the influence of external disturbances. It is applied to the speed control loop to effectively improve the system's robustness. Finally, numerical simulation results demonstrate the robustness and fast response of the proposed method.
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页数:6
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