SPMSM sensorless control of a new non-singular fast terminal sliding mode speed controller

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS Systems Science & Control Engineering Pub Date : 2021-05-03 DOI:10.1080/21642583.2020.1848657
Yuhao Zhu, Yongjin Yu, C. Xiao, Bo Wang
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引用次数: 1

Abstract

ABSTRACT In the SPMSM no-speed control system, the traditional SMC speed controlling led to a difference in adjustment speed, a large amount of overshoot and obvious chattering. In order to solve this problem, a new non-singular fast Terminal-SMC speed controller is designed and the continuous function υ(s) is used to replace the traditional symbolic function, which effectively improves the observation accuracy, and reduces the system chattering. The Lyapunov function is designed to prove the system’s stability. The simulation results show that the new NSFT-SMC has faster responded speed, stronger system robustness, and less chattering during stable operation. Comparing with traditional SMC speed control and hyperbolic tangent function SMC speed control, it has better control performance.
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SPMSM无传感器控制的一种新型非奇异快端滑模速度控制器
摘要在SPMSM无调速控制系统中,传统的SMC调速方法存在调速速度差、超调量大、抖振明显等问题。为了解决这一问题,设计了一种新的非奇异快速Terminal-SMC速度控制器,并用连续函数υ(s)代替传统的符号函数,有效地提高了观测精度,减少了系统的抖振。设计了Lyapunov函数来证明系统的稳定性。仿真结果表明,新的NSFT-SMC在稳定运行时具有更快的响应速度、更强的系统鲁棒性和较小的抖振。与传统的SMC速度控制和双曲正切函数SMC速度控制相比,具有更好的控制性能。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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