摘要
该文中给出的模糊整定器是在虚拟模糊集概念的基础上实现的。该方法首先根据Z -N整规则 ,按照过程的开环阶跃响应设置初始参数 ,然后基于闭环控制系统的响应特性 ,利用模糊系统精确整定控制器参数。模糊控制规则知识库由整定知识和专家经验规则构成。其中整定知识可通过对一典型过程的参数整定来自动提取。
This paper presents the implementation of a fuzzy tuner based on the concept of virtual fuzzy sets. The method uses the Z-N turning rules for initial gain setting. Then the fuzzy system fine tunes the controller iteratively based on the performance of the closed-loop controlled system response. Finally the digital simulation works prove the alidity of the method.
出处
《计算机仿真》
CSCD
2000年第1期28-29,共2页
Computer Simulation
