Sensorless speed control of DC motor using EKF estimator and TSK fuzzy logic controller

In this article, sensorless speed control of DC motor has been proposed using the extended Kalman filter (EKF) estimator and Takagi–Sugeno-Kang (TSK) fuzzy logic controller (FLC). industry, high-cost measurement systems/sensors are necessary for better controlling monitoring, which can be replaced by a technique to reduce cost, size increase system reliability robustness. EKF used perform estimating armature current only TSK-FLC is effect parameter variation load torque nonlinearity in close loop various references. The performance EKF-based compared with PID controller. time-domain specification absolute error indices indicate that superior under similar conditions. executed MATLAB/Simulink environment, prototype model developed validating help micro-controller.