Comparison on fuzzy logic and PID controls for a DC motor position controller

Fuzzy logic and proportional-integral-derivative (PID) controllers are compared for use in a 486 PC-based DC motor positioning system. A simulation study of the PID position controller for the desired DC motor is performed. The parameters of a standard PID controller for the DC motor position control system under the investigation is tuned and fixed throughout the control. The fuzzy logic controller (FLC) using seven membership functions is also designed and implemented on the same PC and software development system for the same position controller. Fuzzy rules and the inferencing mechanism of the FLC are evaluated in real-time instead of using conventional rule-lookup tables that encode the control knowledge in a numerical form. The performance assessment of the studied position controllers is based on accuracy, resolution and settling time to changes in the command signals. It is shown that the FLC performed better than the PID controller. The hardware and software of the PID and fuzzy logic position controllers are also presented