An Extended-State-Observer-Compensated Extended-Kalman-Filter Sensorless Control for Asynchronous Generator

For traditional asynchronous machine power generation systems, the installation of speed sensor not only increases the cost of the system, but also reduces the safety of the system. Aiming at this problem, a speed sensorless control method named Extended-State-Observer-Compensated Extended-Kalman-Filter(ESOC-EKF) is proposed. Based on the state space equations of asynchronous motor in the stationary coordinate system, this paper takes stator current, rotor flux, speed and motor electromagnetic torque as state variables, uses the detected stator current, voltage and the load disturbance signal observed by the Extended State Observer (ESO),and combine the Extended Kalman Filter(EKF) theory to obtain the optimal estimate of the state variable. Robustness and accuracy of the observation performance is improved with the introduction of load compensation, while the effectiveness of proposed method is verified by simulation results.