Position control of faulted six-phase induction machine using genetic algorithms

In this paper, a fuzzy PI (FPI) controller tuned using genetic algorithms (GA) is proposed for position control of six-phase induction motor (6PIM). The performance and the robustness of the control system are tested for healthy and several faulted operational modes and rotor inertia variations. The FPI controller presents many advantages such as satisfactory control performance under a wide range of operating conditions. The proposed scheme is compared to the conventional proportional-integral control and validated by simulation and experimental tests.

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