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.
DEA-tuning of Reduced-order Extended Luenberger Sliding Mode Observers(ELSMO) for Sensorless Control of High-speed SPMSM
Li, Zhaokai;
2021-01-01
Abstract
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.File in questo prodotto:
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