A fuzzy self-tuning PI controller for speed control of induction motor drive

The aim of this paper is to present a novel design of a fuzzy-based self-tuning TI controller (FSTPIC) for speed regulation of an indirect field-oriented induction motor (IM). In this new approach, the fuzzy tuning of a conventional PI controller gains is achieved through fuzzy rules deduced from many robustness simulation tests applied to several induction motors, for a variety of operating conditions such as response to step speed command from standstill, step load torque application and speed reversion, with nominal parameters and an increased and/or decreased rotor resistance, self-inductance and inertia. Simulation results show that the proposed fuzzy self-tuning PI controller is better than the fixed gains one in terms of robustness and speed rise time, even under great variations of operating conditions and load disturbance.