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

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.

Design and Optimization of a Five-Phase Permanent Magnet Synchronous Machine Exploiting the Fundamental and Third Harmonic

“…In the current context, rotating machines are becoming increasingly important due to the continuous growth in electric mobility and renewable energies. Therefore, the need for more efficient, higher performance electrical machines is increasing [1]. As a result, research into multiphase machines has grown due to their multiple advantages, particularly their potentially high power density and high fault-tolerance capability.…”