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Speed Regulation for PMSM with Super-Twisting Sliding-Mode Controller via Disturbance Observer

Mingyuan Hu, Hyeongki Ahn, Yoonuh Chung, Kwanho You

2023Mathematics20 citationsDOIOpen Access PDF

Abstract

This paper focuses on the speed regulation of a permanent-magnet synchronous motor (PMSM) with an uncertain extended load disturbance. A novel super-twisting sliding-mode control (NSTSMC) was proposed via a nonlinear integral sliding surface and a modified reaching law, effectively suppressing the chattering phenomenon. In addition, the NSTSMC can improve the convergence performance with a 0.04 s settling time, satisfying the super-twisting algorithm stability condition. For the novel integral sliding surface, the integral power term of the system state variables was incorporated into the conventional sliding surface to effectively improve the convergence rate and anti-disturbance ability. Moreover, an extended sliding-mode disturbance observer (ESO) was used to estimate the lumped extended disturbance and add the corresponding feedback compensation value from the sliding-mode disturbance observer to the output of the speed controller for the improved robustness of the system. The ESO-NSTSMC was developed to improve the performance of PMSM speed regulation by combining the advantages of the novel integral sliding surface, achieving a settling time of 0.01 s without overshoot. We confirm the performance of the proposed NSTSMC through a PMSM speed simulation and demonstrate that the controller can enhance the dynamic performance and robustness of the system.

Topics & Concepts

Control theory (sociology)Integral sliding modeRobustness (evolution)Settling timeSliding mode controlPermanent magnet synchronous motorOvershoot (microwave communication)State observerElectronic speed controlComputer scienceNonlinear systemControl engineeringEngineeringMagnetPhysicsControl (management)Step responseElectrical engineeringGeneTelecommunicationsChemistryQuantum mechanicsMechanical engineeringBiochemistryArtificial intelligenceSensorless Control of Electric MotorsIterative Learning Control SystemsControl Systems in Engineering
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