INFLUENCE OF FUZZY ADAPTED SCALING FACTORS ON THE PERFORMANCE OF A FUZZY LOGIC CONTROLLER BASED ON AN INDIRECT VECTOR CONTROL FOR INDUCTION MOTOR DRIVE

Lakhdar Mokrani - Katia Kouzi

   This work investigates a simple design of the scaling factors fuzzy tuning procedure of a fuzzy logic controller (FLC) for speed regulation of an indirect field-oriented induction motor (IM). A simple but powerful fuzzy adaptation of the FLC three scaling factors is proposed. This adaptation does not require the knowledge of the system model. The influence of different combinations of the FLC scaling factors fuzzy self-tuning on the performance control is investigated and illustrated by some simulation results at different dynamic operating conditions such as sudden change in command speed, step change in load torque and some key parameters deviation. The suggested controller can be applied to a large class of robotics and other mechanical systems.

Keywords: FLC, fuzzy self-tuning of the scaling factors, speed regulation, field oriented IM, key parameters variation, robustness

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