Skip to Main Content
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.
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on (Volume:2 )
Date of Conference: 23-25 June 2003