TUNING METHOD FOR PID CONTROL SCHEME

摘要

This paper addresses the ant colony system optimization method that is used for tuning the parameters of three independent fuzzy systems to optimally determined different gains of PID controller. Each fuzzy module is utilized to obtain different PID parameters. The objective of Ant Colony Optimization is to improve both the design efficiency of fuzzy systems and its performance. The optimum relationship between the PID controller gains and the parameters of fuzzy modules is explored using Ant system algorithm. Firstly, the design of typical Takagi-Seguno fuzzy PID controller is presented. Then, the well known ant colony optimization method is applied to the problem of tuning the parameters of Takagi-Seguno fuzzy rule base. Finally, the optimal PID gains are obtained. Simulation examples are provided to illustrate the effectiveness of the proposed technique.