Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives

Peng Gao, Guangming Zhang and Xiaodong Lv
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Peng Gao: College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211899, China
Guangming Zhang: College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211899, China
Xiaodong Lv: College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211899, China

Energies, 2021, vol. 14, issue 4, 1-15

Abstract: This paper proposes a novel model-free super-twisting nonlinear sliding mode control (MFSTNLSMC) strategy with an improved smoothing extended state observer (SESO) for permanent magnet synchronous motor (PMSM) drives. First of all, the improved SESO is introduced to estimate the unknown term of the PMSM ultra-local model. Secondly, a novel nonlinear sliding mode surface (NLSMS) is designed, which can effectively overcome the disadvantages of simple and rough signal processing of the conventional linear sliding mode surface. At the same time, a super-twisting (ST) structure is chosen to suppress the chattering phenomenon and improve system robustness. Then, the Lyapunov stability theorem is used to prove the stability of the proposed control algorithm. Finally, both comparative simulations and experimental demonstrations verify the excellent speed tracking performance and robustness of the proposed control strategy.

Keywords: smoothing extended state observer (SESO); model-free super-twisting nonlinear sliding mode control (MFSTNLSMC); permanent magnet synchronous motor (PMSM) (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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