Adaptive Neural Type II Fuzzy Logic-Based Speed Control of Induction Motor Drive

An adaptive neural type II fuzzy logic control (FLC) is designed for control of speed of induction motor in this paper. Intelligent control has improved the performance of vector-controlled drives compared to the conventional PI controller (PIC). Type I FLC eliminates the problems of PIC, but certain uncertainties remain in the system that needs to be effectively tackled with. As such, type II FLC controller is implemented for controlling the speed of drive. Herein, an adaptive controller is designed with neural network determining the rules for the type II FLC. Controller thus results in reduced torque pulsations and lesser current harmonics. Simulation is carried out in MATLAB on the induction motor drive utilizing the controller proposed in the paper, and results are compared with those obtained using PIC.