Abstract
In this paper, the fuzzy logic, neuro-fuzzy logic, and artificial neural network speed controllers in feedforward and recurrent architectures are designed and modeled to control the permanent magnet synchronous motor (PMSM) drive. The fundamentals of artificial intelligence-based control algorithms are illustrated. The detailed performance of the PMSM drive is studied by applying various mechanical disturbances such as starting performance, speed reversal, flux weakening, and load perturbations.
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