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

Omar Bouyahia (), Amine Yazidi and Franck Betin
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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

Energies, 2023, vol. 16, issue 18, 1-18

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.

Keywords: fault tolerance; feedback control; fuzzy logic system; multiphase induction machine; robust control; sliding mode control; wind energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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