Aiming at the problems of inherent chattering of traditional sliding mode control system of permanent magnet synchronous motor and further improving the control precision, a new fuzzy exponential reaching law sliding mode control method optimized by improved differential evolution (DE) algorithm (DEFSMC) is proposed in this article. A new hyperbolic tangent function with fuzzy boundary layer is proposed to instead of the traditional switching function, and the improved DE algorithm is used to optimize the fuzzy rules of parameters in sliding mode controller. Simulation and experimental results prove that the proposed strategy can effectively reduce the chattering and overshoot, and improve the response speed and robustness of the system. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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基于模糊规则优化的永磁同步电机伺服系统模糊滑模控制新方法

针对传统永磁同步电机滑模控制系统固有的颤振问题，进一步提高控制精度，提出了一种基于改进微分进化（DE）算法（DEFSMC）优化的模糊指数趋近律滑模控制方法。本文。提出一种新的带有模糊边界层的双曲正切函数来代替传统的切换函数，并采用改进的DE算法对滑模控制器中参数的模糊规则进行优化。仿真和实验结果证明，所提出的策略可以有效地减少颤振和超调，提高系统的响应速度和鲁棒性。© 2022 日本电气工程师学会。由 Wiley Periodicals LLC 出版。