Adaptive PID regulator based on neural network for DC motor speed control

This paper investigates the use of an adaptive PID controller to reduce a DC motor speed pulsation such that the robust stability for the closed-loop system is guaranteed. .The APID control scheme tunes the PID controller parameters by using the theory of adaptive interaction. A neural network was applied in the adaptive algorithm to regulate a set of PID parameters by minimizing an error function.Both computer simulations and bench test rig experiments are used to validate the proposed control scheme.