Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive

A Novel Adaptive PI based on Fuzzy Logic Reasoning (FLR) is presented in this paper for Indirect Vector Control (IVC) three phase Induction Motor (IM). The main objective is to achieve fast dynamic response and robustness for speed variation, parameter uncertainties, load disturbances, electrical faults perturbations, and to acquire maximum torque and efficiency. The d-q modeling of the IM in synchronously rotating reference frame and Space Vector Pulse Width Modulation (SVPWM) employed in power inverter are carried out in Matlab/Simulink. Both PI and Adaptive PI based on FLR are analyzed, designed, and simulated for IVC IM drive system. Furthermore, the critical and analytical assessment of the aforesaid designed control methodology provides robust and faster response with low overshoot, rise, and settling time for the load disturbances, parameter uncertainties, speed variation, and electrical faults perturbation of IVC IM drive system, compared to prior works.