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基于模糊神经网络的多集气管压力控制系统 被引量:1

Multi-Set Airway Pressure Control System based on Fuzzy Neural Network
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摘要 针对焦炉集气管压力系统具有强耦合、强干扰、非线性的特点.文章阐述了影响集气管压力变化的三种因素,并在此基础上设计了一个基于模糊神经网络的控制系统。该系统较好的解决了多座焦炉集气管压力之间相互耦合的问题。 Based on the collector pressure system of coke-oven which is strongly coupled and disturbed, non-linear multi-variable system, this article presents three factors which affect the collector pressure system and design a control system which is based on fuzzy and neural network. This system has solved the problem of coupling between several collector pressures.
出处 《可编程控制器与工厂自动化(PLC FA)》 2009年第10期111-113,83,共4页 Programmable controller & Factory Automation(PLC & FA)
关键词 集气管压力 控制系统 模糊神经网络 耦合 Collector pressure Control system Fuzzy and neural network Couple
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