高速SPMSM无传感器控制的降阶扩展Luenberger滑模观测器(ELSMO)的dea整定

Zihang Chen, Feiyu Chen, Xiaoyan Huang, Zhaokai Li, Min Wu
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引用次数: 1

摘要

针对Luenberger观测器观测到的转子位置积分漂移现象,在原Luenberger项基础上增加滑模项,增强系统的鲁棒性。同时,为了简化观测器的复杂性,本文降低了原状态方程的阶数。采用差分进化算法(DEA)对观测器增益系数进行全局优化,降低了人工调谐的偶然性和随机性。
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DEA-tuning of Reduced-order Extended Luenberger Sliding Mode Observers(ELSMO) for Sensorless Control of High-speed SPMSM
Aiming at the phenomenon of integral drift in the rotor position observed by the Luenberger Observer, a sliding mode term is added to the original Luenberger term to enhance the robustness of the system. Meanwhile, in order to simplify the complexity of the observer, this paper reduces the order of the original state equation. The Differential Evolution Algorithm (DEA) is used to optimize the observer gain coefficient globally, which reduces the contingency and randomness of manual tuning.
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