Fuzzy Mixed-Sensitivity Control of Uncertain Nonlinear Induction Motor
- Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH 44115, USA
- Amirkabir University of Technology, Tehran, Iran
- Department of Electrical and Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran
Abstract
In this article we investigate on robust mixed-sensitivity Hâ control for speed and torque control of induction motor (IM). In order to simplify the design procedure the TakagiâSugeno (TâS) 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 Hâ 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. Â