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An Improved Integral Sliding Mode Control for PMSM Drives Based on New Variable Rate Reaching Law With Adaptive Reduced-Order PI Observer

Xin Guo, Shoudao Huang, Yu Peng, Kaiyuan Lu, Sheng Huang, Derong Luo, Xuan Wu

2023IEEE Transactions on Transportation Electrification41 citationsDOI

Abstract

This article focuses on speed control in a permanent-magnet synchronous motor (PMSM). To promote the speed tracking performance and anti-disturbance property of the PMSM speed regulation system against various unknown disturbances, such as parameter mismatch, load torque variation, friction force, and so on, an improved integral sliding mode control (IISMC) method based on a new variable rate reaching law (NVRRL) and an adaptive reduced-order proportional integral observer (AROPIO) is proposed. The NVRRL method can reduce the chattering, and convergence time of the system state at the same time compared to the existing sliding mode reaching law. An anti-windup sliding mode surface is proposed to overcome the overshoot problem of the integral sliding mode surface when the reference speed is large and rises in steps or large ramps. To further improve the system tracking accuracy and anti-disturbance ability, an AROPIO is used to estimate lumped disturbances and provides feedforward compensation for the IISMC. The simulation and experimental results show that the proposed IISMC + AROPIO method not only achieves high speed tracking accuracy and fast convergence speed but also achieves strong anti-interference ability.

Topics & Concepts

Control theory (sociology)Integral sliding modeOvershoot (microwave communication)Feed forwardElectronic speed controlConvergence (economics)Sliding mode controlObserver (physics)Rate of convergenceComputer scienceVariable structure controlLawEngineeringControl engineeringNonlinear systemPhysicsControl (management)Key (lock)Computer securityEconomic growthQuantum mechanicsTelecommunicationsEconomicsElectrical engineeringPolitical scienceArtificial intelligenceSensorless Control of Electric MotorsIterative Learning Control SystemsControl Systems in Engineering
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