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Experimental Comparison of Robust Control Algorithms for Torque Ripple Reduction in Multiphase Induction Generators

Author

Listed:
  • Omar Bouyahia

    (Laboratory of Innovative Technologies (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France)

  • Amine Yazidi

    (Laboratory of Innovative Technologies (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France)

  • Franck Betin

    (Laboratory of Innovative Technologies (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France)

Abstract

This paper introduces robust nonlinear controller strategies for multiphase induction machines, aiming to enhance operational reliability under healthy and faulty conditions, including stator phase and converter leg openings. Due to the induction machine’s inherent nonlinearities and parameter variations, a robust control is required. The study evaluates the effectiveness of the sliding mode control with linear feedback and switched gains, the fuzzy proportional integral control, and their combined application in both healthy and faulty modes. The experimental assessment involves a symmetrical six-phase induction machine in generation mode, with comparisons with a classic proportional integral controller for inner current loop regulations. Experimental results show that the fuzzy proportional integral controller presents the best performance by minimizing torque ripples during both healthy and faulty operations.

Suggested Citation

  • Omar Bouyahia & Amine Yazidi & Franck Betin, 2023. "Experimental Comparison of Robust Control Algorithms for Torque Ripple Reduction in Multiphase Induction Generators," Energies, MDPI, vol. 16(18), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6702-:d:1242986
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