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基于RBF神经网络的干熄焦预存室压力智能控制系统 预览

Intelligent Control System Based on RBF Neural Network for CDQ Pre-chamber Pressure
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摘要 针对干熄焦预存室压力控制系统存在时变性、非线性等特点,使传统PID控制方式存在压力波动大的问题,采用了一种基于RBF神经网络的PID控制器,以提高控制系统的控制精度。实用结果表明,该控制系统不仅具有较高的控制精度,还具有更快的响应速度,其控制效果优于传动的PID控制器。 The control system of CDQ pre-chamber pressure has the characteristics of time variability and nonlinearity,which causes excessive pressure fluctuation of conventional PID control model.A PID controller based on RBF neural network was adopted to improve the control accuracy of the control system.Application results showed that this control system not only has high control accuracy,but also gives faster response speed,providing better control effect than conventional PID controller.
作者 温杰 陈冬玲 薛宇 WEN Jie;CHEN Dongling;XUE Yu(Coking Plant of Guangxi Liuzhou Iron & Steel Group Corporation;Liuzhou Vocational and Technology College,Liuzhou,Guangxi 545006,China)
出处 《冶金动力》 2019年第6期69-71,共3页 Metallurgical Power
关键词 RBF神经网络 控制系统 PID 非线性 RBF neural network control system nonlinear
作者简介 温杰(1984-)男,大学本科学历,技师,现从事干熄焦工艺生产管理工作。
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