A self organized fuzzy PD controller using Tabu Search

One of the most important considerations in designing any fuzzy controller is the generation of the fuzzy rules as well as the membership functions for each fuzzy set. Metaheuristic algorithms have been widely used for optimal design of fuzzy controllers. In this paper, we propose new auto-tuning fuzzy PD controllers using Tabu Search (TS) for generating knowledge bases for fuzzy logic systems. The algorithm dynamically adjusts the membership functions and fuzzy rules according to different environments. it was tested on the control of angle of inverted pendulum and compared with GA.