The neural network inverse control of induction motor with adaptive estimation of flux based on EKF

In this paper, it shows that the neural network inverse system control of induction motor is robust to machine parameters, but like other high performance control methods, The induction motor control system with NNISC (neural network inverse system controller) also need accurate flux and speed as feedback signals, therefore, the EKF(extended Kalman filter) is adopted to estimate the stator resistance, rotor resistance and rotor flux jointly, the adaptive estimation of rotor flux when variable resistance is implemented, subsequently, the designed flux estimator is used to provide the estimated flux to the flux regulator in neural network inverse system control of induction motor, In the last, the proposed method is validated by simulation.