Optimization and Simulation of Fuzzy Control Based on SOA

摘要

Fuzzy control is one of the important branches of intelligent control. And its optimization problem has become more and more important. The knowledge base formed by the experience of the researcher can often determine the performance of the fuzzy controller. Therefore, the optimization of the fuzzy control is mainly the optimization of the knowledge base. This paper will focus on using the seeker optimization algorithm (SOA) to optimize the membership function in the fuzzy controller knowledge base. Through the Matlab simulation, the original fuzzy control is compared with the SOA fuzzy control. The results show that the control effect of SOA fuzzy control is better than that of original fuzzy control.