关键词: 遗传算法, 模糊集相似度量推理, 优化, 自适应PID

Abstract: A self-adaptive PID controller based on genetic algorithm and vague sets using measures of similarity reasoning is presented.It consists of three parts：（1）fuzzy inference rules are optimized by the genetic algorithm；（2）the calculation method of precise values of vague sets reasoning rules；（3）the design of a self-adaptive PID controller based on vague sets using measures of similarity reasoning.This controller not only makes up the defaults of fuzzy-PID controller that membership values are difficult to determine and that information is single，but also makes good use of optimization of genetic algorithm.So it can get the best combination of PID control to insure the optimal dynamic and steady response.The simulation results show that the controller has a fast response speed and high steady precision.It can be used in different objects and processes.

Key words: genetic algorithm, measures of similarity reasoning using vague sets, optimize, self-adaptive PID