Abstract: For high performance electrical drives, a desirable control performance must be provided even when the parameters and load of the motor are varying during the motion. This study proposed a Proportional Integral (PI) type Fuzzy-Neural Network (FNN) controller for a vector controlled induction motor drives to deal with these issues. The fuzzy-neural controller based on Sugeno fuzzy model was adopted for this study and FNN inputs were selected as the speed error and the error integral to eliminate steady state errors. Experimental results showed the speed control performance of the proposed control system was presented for various operating conditions of the motor.