روش جدید با استفاده از بهینه سازی کلونی مورچه با پارتیشن بندی مجموعه ای مورچه برای طراحی کنترل فازی اعمال شده در سیستم توپ و پرتو

In this paper we describe the design of a fuzzy logic controller for the ball and beam system using a modified Ant Colony Optimization (ACO) method for optimizing the type of membership functions, the parameters of the membership functions and the fuzzy rules. This is achieved by applying a systematic and hierarchical optimization approach modifying the conventional ACO algorithm using an ant set partition strategy. The simulation results show that the proposed algorithm achieves better results than the classical ACO algorithm for the design of the fuzzy controller.