The proposed controller (FPPC), was presented herein. Fuzzy membership functions, phase plane theory and the IA were employed to design the proposed FPPC to optimally control induction motor speed and load. The contribution of this paper is the methodology of the proposed controller for optimally controlling speed of an induction motor. Simulated and experimental results clearly reveal that the proposed FPPC outperforms conventional PI controllers in optimal speed and load controls.