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Design and Implementation of a Self-Tuning Adaptive Controller for Induction Motor Drives

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The paper deals with an indirect self-tuning speed control for an induction motor supplied by inverter system. Input/Output models are identified with the recursive least squares algorithm and the controller adaptation is based on a minimum variance control (MVC) law. Emphasis is put on the evaluation of the parameter identification in order to avoid instabilities because of disturbances or insufficient excitations. This is especially of importance when the adaptive control is carried out in closed loop systems and without additional test signals. Experimental results show the improvement of the dynamic responses and the robustness against load variations or parameters variations.
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Induction Motor Drives; High Performance Control; Parameter Estimation; Adaptive Control

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