Design and Implementation of Optimal Fuzzy PID Controller for DC Servo Motor

A method is proposed for improving the transient positioning response of a DC servo motor controlled by a proportional- integral-derivative (PID) controller. In the proposed approach, the optimal gains of the PID controller are determined using an Evolutionary Programming (EP) scheme and a Genetic Algorithm (GA), respectively, based on an integrated-absolute error (IAE) fitness function. The optimal gain constants obtained using the two methods a re then fine tuned using a Fuzzy Logic Controller (FLC). The experimental results show that the FLC controller yields an effective improvement in the positioning response of the DC servo motor compared to that obtained using the optimized PID controller alone. In addition, it is shown that the FLC + EP based PID controller provides a more rapid response than the FLC + GA based PID controller. The effectiveness of proposed controllers is verified experimentally.