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题名Adaptive fuzzy finite-time command filtered tracking control for permanent magnet synchronous motors
作者
发表日期2019
发表期刊Neurocomputing
ISSN/eISSN0925-2312
卷号337页码:110-119
摘要

This paper studies the position tracking control problem for permanent magnet synchronous motors (PMSMs) with parameter uncertainties. Firstly, the command filtered method is employed to overcome the “explosion of complexity” in traditional backstepping method. Then, in order to reduce the errors produced by command filters, error compensation mechanism is adopted. In addition, the finite-time control method makes the tracking error converge to the smaller neighborhood in the finite time. The adaptive fuzzy control is used to approximate the nonlinear functions. Finally, the simulation results proved the designed control method can overcome the influence of parameter uncertainties and achieve the satisfactory position tracking control. © 2019 Elsevier B.V.

关键词Adaptive fuzzy control Command filter Finite-time Permanent magnet synchronous motors
DOI10.1016/j.neucom.2019.01.057
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000461165400009
引用统计
被引频次:56[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/3583
专题个人在本单位外知识产出
作者单位
1.College of Automation, Qingdao University, Qingdao, 266071, China
2.Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa
推荐引用方式
GB/T 7714
Yang, Xueting,Yu, Jinpeng,Wang, Qingguoet al. Adaptive fuzzy finite-time command filtered tracking control for permanent magnet synchronous motors[J]. Neurocomputing, 2019, 337: 110-119.
APA Yang, Xueting, Yu, Jinpeng, Wang, Qingguo, Zhao, Lin, Yu, Haisheng, & Lin, Chong. (2019). Adaptive fuzzy finite-time command filtered tracking control for permanent magnet synchronous motors. Neurocomputing, 337, 110-119.
MLA Yang, Xueting,et al."Adaptive fuzzy finite-time command filtered tracking control for permanent magnet synchronous motors". Neurocomputing 337(2019): 110-119.
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