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Model-Free Hybrid Control with Intelligent Proportional Integral and Super-Twisting Sliding Mode Control of PMSM Drives

Peng Gao, Guangming Zhang, Xiaodong Lv

2020Electronics28 citationsDOIOpen Access PDF

Abstract

In this research, based on the ultra-local model, a novel compound model-free control strategy with an intelligent Proportional-Integral and super-twisting Sliding Mode Control (MFiPISTSMC) strategy for permanent magnet synchronous motor (PMSM) drives is proposed. Firstly, an intelligent Proportional-Integral (iPI) control strategy is designed for motor speed regulation. Secondly, a super-twisting Sliding Mode Control (STSMC) strategy is constructed based on the ultra-local model of PMSM. At the same time, the unknown term of the ultra-local model of PMSM is estimated by a Linear Extended State Observer (LESO). The stability of the compound MFiPISTSMC strategy is proved by the Lyapunov stability theorem. As a result of the compound MFiPISTSMC strategy integrating the STSMC strategy, the iPI control strategy and the LESO is proposed to have excellent performance. Finally, the static characteristic, dynamic characteristic and robustness of the novel compound MFiPISTSMC strategy are verified by simulation and experimental results.

Topics & Concepts

Control theory (sociology)Integral sliding modeState observerRobustness (evolution)Permanent magnet synchronous motorSliding mode controlLyapunov stabilityLyapunov functionControl engineeringObserver (physics)Stability (learning theory)Mode (computer interface)Computer scienceEngineeringControl (management)MagnetPhysicsArtificial intelligenceNonlinear systemOperating systemChemistryMechanical engineeringGeneQuantum mechanicsBiochemistryMachine learningIterative Learning Control SystemsSensorless Control of Electric MotorsAdaptive Control of Nonlinear Systems
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