基于虚拟模糊集的PID参数整定器的仿真研究

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。最后给出的数字仿真结果证明该方法的有效性。

A Simulation Research of PID Tuner based on Virtual Fuzzy Sets

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.