Speed and Load Torque Estimation of Induction Motors Based on an Adaptive Extended Kalman Filter

When we monitor running state of induction motor in field, the sensorless estimation of load torque and speed of induction motor has important significance, in this paper, a method to estimate load torque and speed of motor using adaptive extended kalman filter(AEKF) is presented, the covariance matrices of noises are estimated while the speed and load torque of induction motor are estimated using EKF in this method; this method solved the problem that the estimate results of EKE are affected greatly by the covariance matrices of noise, Simulation demonstrate that this method can get higher estimated accuracy