Fuzzy-logic-based self-tuning PI controller for speed control of indirect field-oriented induction motor drive

The indirect field-oriented (IFO) method of induction motor (IM) drive is generally implemented by the fixed gain PI controller because of its simple design technique. The performance of fixed gain PI controller may be well under some operating conditions, but not all desired operating conditions. To increase the performance of PI controller, we propose a new fuzzy-logic-based self-tuning PI control system for speed control of IM drives with IFO method. In this new approach, a well designed fuzzy-logic provides the suitable gain of PI controller to achieve the desired speed under the variation of load torque and parameters. The performance of proposed fuzzy-logic-based self-tuning PI controller was demonstrated through simulations. The simulation results confirm that the proposed controller is robust under the variation of load torque and parameters.