Adaptive fuzzy sliding mode controller design for PMLSM position control

Khadidja Makhloufi, Ismail Khalil Bousserhane, Si Ahmed Zegnoun


This paper presents a new method combining sliding mode control (SMC) and fuzzy logic control (FLC) to enhance the robustness and performance for the PMLSM position control. Firstly, the adaptive fuzzy sliding mode control (AFSMC) is developed for application in the area for controlling the position loops of permanent magnet linear synchronous motor (PMLSM). Then, a designed controller is investigated in order to solve the chattering problem and obtain high accuracy steady-state sliding motion where an on-line tuning method by fuzzy logic is employed to adjust both the switching gain and boundary layer thickness. Simulation results of the proposed scheme technique (AFSMC) present good dynamic and accurate steady-state performances compared to the classical SMC in terms as reduction of the force chattering, quick dynamic force response and robustness against external disturbance application.



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