A comparison of robustness: fuzzy logic, PID, and sliding mode control

This work is performed in order to foster and promote unbiased and accurate comparison of fuzzy logic control and classical control design methodologies. We are motivated to execute this study by the demonstrated robustness to plant perturbations of the fuzzy logic controller given by Nguyen et al. Robust fuzzy logic, PID, and sliding mode controllers are designed to control the speed of a nominal third order linear time-invariant model of a motor. The step response performance of each controller, applied to the nominal and two perturbed motor plants, is presented. We conclude that fuzzy logic control can be a useful tool for the control engineer. We encourage more benchmark comparisons of fuzzy logic control with classical control techniques for the benefit of the practising control engineer