Research on optimal control of mine-used permanent magnet direct-drive variable frequency integrated machine based on extended kalman filter

The vector control of the motor relies on the motor terminal voltage and stator current as important feedback signals. Conventional motor control systems obtain them by using mechanical sensors. However, such sensors are not conducive to smooth operation of mining motors. We have designed a control strategy based on the Extended Kalman Filter. We enhance the observation accuracy by modifying the noise matrices Q and R within the EKF. Simulation results demonstrate that the optimized EKF exhibits improvements in reducing convergence time and minimizing speed impact values.