Online adaptation of rotor parameters using fuzzy logic in indirect field oriented vector control of AC induction drives

Indirect field oriented vector control relies on the estimation of rotor flux and its synchronous angle to ascertain decoupling of torque and flux. This estimation is based on the calculation of slip-speed and current model both of which are prone to the detuning of rotor electrical parameters. This paper aims to resolve this issue by online adapting rotor winding resistance using the reactive power based model reference adaptive system (MRAS) technique in conjunction with a Takagi Sugeno (TS) fuzzy adaptation mechanism. Analysis and design of the controller is explained and performance is evaluated using simulations. The provided results establish the effectiveness of the proposed solution in high performance AC drives.