研究了一种新的基于隶属函数移动率的递归模糊推理方法及其应用

Cholman Ho, Jingjiao Li, Sonil Gwak
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引用次数: 3

摘要

模糊推理方法在不同的应用领域已经证明了其解决不同类型问题的能力。目前,有各种模糊推理方法和应用。提出了一种新的基于模糊隶属函数移动速率的递归推理方法及其应用。为了减少模糊推理的时间开销,提出了移动速率和移动动作的概念。在递归模糊推理中,递归一般是针对顺次模糊集,因此模糊推理时间长,实际编程工作非常困难。采用新方法,设计的系统由PID运算块、特征采样块、特征确定块、PID参数设定值块、衰落因子计算块和控制对象块组成。为了确定PID参数,建立了模糊规则,并提出了递归模糊推理。最后,对已有方法和所提方法进行了比较,并对PID参数自整定仿真实验结果进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of a new recursive fuzzy reasoning method by move rate of membership function and it's application
Fuzzy reasoning methods have demonstrated their ability to solve different kinds of problems in various applications domains. Currently, there are various fuzzy reasoning methods and applications. This paper points out a kind of new recursive reasoning method which is based on move rate of fuzzy membership functions and it's application. To reduce the time cost by fuzzy reasoning, concepts of move rate and move action are proposed. In recursive fuzzy reasoning, generally, recursion is for consequent fuzzy sets, therefore fuzzy reasoning time is long and then practically programming workings is very difficult for us. Using new method, the designed system is composed of a block of PID operation, block of characteristic sampling, block of characteristic determine, block of PID parametric setpoint, block of fading factor calculation and control object. To determine PID parameters, fuzzy rules is made and proposed recursive fuzzy reasoning is applied. Finally, past method and proposed method is compared and PID parameter auto-turning simulation experiment results is explained.
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