Fuzzy control of double inverted pendulum based on the genetic algorithm

This paper describes how to seek the superior in fuzzy controller using the genetic algorithm. Efficiency of fuzzy control depends on several key parameters: membership function, fuzzy control rule and so forth. In this paper a method based on binary-code for parameters of membership function is provided, which only select two parameters of each variables. The result of simulation and real time control experiment show that this method is effective and applicatory.