Model-Free Adaptive Fuzzy Sliding-Mode Observer Control for PMSM

Boming Zhu, Dehong Zhu () and Tao Tao
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Boming Zhu: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Dehong Zhu: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Tao Tao: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

Energies, 2025, vol. 18, issue 8, 1-19

Abstract: To further improve the estimation accuracy of the super-spiral observer, this paper innovatively proposes a fuzzy model-free adaptive control (FMFAC) super-spiral observer. The control scheme exhibits improved estimation accuracy after incorporating a fuzzy model-free adaptive component. The main contributions of this paper are as follows: (1) to achieve comprehensive fuzzy parameters without model adaptation, and (2) to creatively summarize the fuzzy rule table according to the observer’s characteristics. Experimental results demonstrate that the control performance of the proposed observer surpasses that of the traditional hyper-spiral observer.

Keywords: fuzzy control; model-free adaptive control; permanent magnet synchronous motor; pseudo-partial derivative; super-twisting observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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