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An Enhanced Finite-Set Model Predictive Control Based Super Twisting Sliding Mode Speed Controller for Linear Metro Applications

Abstract

The tracking speed issue of linear induction machines (LIMs) is addressed in this study via a nonlinear speed controller with model predictive current control (MPCC). The super twisting sliding mode controller (STSMC) controls the LIM speed instead of the traditional PI controller to provide a quick dynamic response with a smaller steady-state inaccuracy. The primary objective of the super twisting sliding mode controller (STSMC) is to regulate the q-axis primary current within the finite-set MPCC (FS-MPCC) framework. To avoid the use of an axis transformation problem and speed up the calculation process, the dynamic model of the suggested STSMC-based FSMPCC is fulfilled in the $\alpha \beta$ frame rather than the $dq$ frame. The suggested control technique is validated by simulation results based on the platform of two 3 kW arc induction motor drive systems.

Research topics

  • Real-time simulation and control systems
  • Power Systems and Technologies
  • Railway Systems and Energy Efficiency

Sustainable Development Goals

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DOI: 10.1109/mepcon58725.2023.10462431

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