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Model-Free Sliding Mode Control for PMSM Drive System Based on Ultra-Local Model

Kaihui Zhao, Wenchang Liu, Tonghuan Yin, Ruirui Zhou, Wangke Dai and Gang Huang

2021Energy Engineering15 citationsDOIOpen Access PDF

Abstract

This paper presents a novel model-free sliding mode control (MFSMC) method to improve the speed response of permanent magnet synchronous machine (PMSM) drive system. The ultra-local model (ULM) is first derived based on the input and the output of the PMSM. Then, the novel MFSMC method is presented, and the controller is designed based on ULM and MFSMC. A sliding mode observer (SMO) is constructed to estimate the unknown part of the ULM. The estimated unknown part is feedbacked to MFSMC controller to perform compensation for parameter perturbations and external disturbances. Compared with the sliding mode control (SMC) method, the results of simulation and experiment demonstrate that the presented MFSMC method improves the dynamic response and robustness of the PMSM drive system.

Topics & Concepts

Control theory (sociology)Robustness (evolution)Sliding mode controlPermanent magnet synchronous motorObserver (physics)Control engineeringMode (computer interface)EngineeringCompensation (psychology)Controller (irrigation)Computer scienceMagnetControl (management)Nonlinear systemPhysicsArtificial intelligenceGeneChemistryPsychologyAgronomyBiologyPsychoanalysisOperating systemMechanical engineeringBiochemistryQuantum mechanicsSensorless Control of Electric MotorsIterative Learning Control SystemsMagnetic Bearings and Levitation Dynamics
Model-Free Sliding Mode Control for PMSM Drive System Based on Ultra-Local Model | Litcius