An intelligent control scheme with self-updating for industrial processes

Limin Liu, Ping Yan, Yunxiu Wang, Q. Liu
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引用次数: 8

Abstract

A control scheme based on fuzzy intelligent control for an industrial process in some electric power plants is introduced in this paper. The process is complex, nonlinear and closed couple. An optimized control based on mathematic models is difficult for it. The design of intelligent control is mainly concerned to a fuzzy inferring system based on knowledge. Several rule sets are set up for various applications. One of them can update rules within the control system. It makes the system have a function of rule self-updating. A simulation shows that the scheme is useful.
一种具有自更新功能的工业过程智能控制方案
本文介绍了一种基于模糊智能控制的电厂工业过程控制方案。该过程是一个复杂、非线性、封闭的耦合过程。基于数学模型的优化控制是其难点。智能控制的设计主要涉及基于知识的模糊推理系统。为不同的应用程序设置了几个规则集。其中一个可以更新控制系统中的规则。使系统具有规则自更新的功能。仿真结果表明该方案是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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