DC motor control based on artificial neural network and adaptive PI

This research proposes an adaptive PI controller for controlling DC motor. The feed-forward neural network is selected to cooperate with PI controller for improving motor control while the motor is operated in compressed load. The results showed that the proposed control method can potentially improve control performances, such as reduce ripple and overshoot.