Optimal design of Fuzzy controller based on Ant colony algorithms
Weixing Zhu, Jianliang Chen, Binjie Zhu · 2006
In the design of the fuzzy controller, the fuzzy rules are constructed according to the knowledge and experience of experts. It will be hard to design a good fuzzy controller when the experiences of experts are not available or not complete. Therefore, how to optimize initial the fuzzy rules becomes the key of design of a good fuzzy controller. Ant colony algorithm is a novel simulated evolutionary algorithm. It provides a new method to solve the complex combined optimization problem. This paper takes advantage of the ant colony algorithm to optimize the fuzzy rules of a fuzzy controller, and can settle the problem of designing fuzzy controller without the expert's experience. The simulating results show that the fuzzy controller designed has the desired dynamic and static performance