OICC Press Majlesi Journal of Electrical Engineering 2345-3796 8 2 2024 02 21 Fuzzy Mixed-Sensitivity Control of Uncertain Nonlinear Induction Motor EN Vahid Azimi Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH 44115, USA Mohammad Bagher Menhaj Amirkabir University of Technology, Tehran, Iran Ahmad Fakharian Department of Electrical and Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran Journal Article 2024 02 21 In this article we investigate on robust mixed-sensitivity H∞ control for speed and torque control of induction motor (IM). In order to simplify the design procedure the Takagi–Sugeno (T–S) fuzzy approach is introduced to solve the nonlinear model Problem. Loop-shaping methodology and Mixed-sensitivity problem are developed to formulate frequency-domain specifications. Then  a regional  pole-placement output feedback H∞ controller is employed by using linear matrix inequalities(LMIs) teqnique for each linear subsystem of IM T-S fuzzy model. Parallel Distributed Compensation (PDC) is used to design the controller for the overall system . Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.