Design of optimal-robust speed T-S fuzzy controller for a wounded rotor induction motor coupled with a nonlinear load

This paper introduces designing of a Takagi-Sugeno (T-S) fuzzy, state feedback controller so as to have optimal and robust full-range speed control over the wounded rotor induction motor. A slip energy recovery drive system, using 12-pulse converter and a shunt chopper is used as a modified system to drive a slip ring induction motor, which is coupled with a class of nonlinear uncertain load. Using parallel distributed compensator (PDC) scheme, the control law is obtained by minimizing linear quadratic regulator (LQR) cost function and in parallel maximizing the allowed norm bounded uncertainty of the system parameters. Finally, illustrative simulation results represented to validate the performance of the proposed controller.