Adaptive field-oriented control using supervisory type-2 fuzzy control for dual star induction machine

Abstract

This paper proposes Interval Type-2 Fuzzy Gain-Adaptive PI (IT2FGAPI) controller based on direct field oriented control (DRFOC), to control the speed of a dual star induction machine (DSIM), to get a robust performance machine. We use IT2FGAPI for speed control of the DSIM corresponding to adapting the different gains Kp and Ki corresponding the different PI logic, PI of speed, PI of flux and the four PI of currents in a vector control mode. An interval type-2 fuzzy control system is used to adapt in real-time the controller gains, to generate the PI controller parameters, he gives a fast dynamic response with no overshoot, robust and their performances are insensible to parameter variations, at different dynamic operating such as sudden change in command speed, step change in load torque and some key parameters deviation. The simulations results obtained from MatLab/Simulink are finally presented and discussed; the obtained results show that the controller in enhancing the robustness of control systems with high accuracy.