| 基于神经网络的恒温控制系统的研究与设计 |
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| 引用本文： | 李泉溪,巩庆民,常波.基于神经网络的恒温控制系统的研究与设计[J].计算机工程与设计,2008,29(11):2967-2969. |
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| 作者姓名： | 李泉溪 巩庆民 常波 |
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| 作者单位： | 1. 河南理工大学,计算机科学与技术学院,河南,焦作,454003
2. 河南理工大学,电气工程与自动化学院,河南,焦作,454003 |
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| 摘 要： | 由于恒温控制的数学模型很难建立,针对这一难题提出了基于神经网络的PID控制器,侧重介绍了BP神经网络PID控制器算法的基本知识以及控制器的设计原理,通过实验仿真证明了神经网络PID控制器的控制效果比传统的PID控制在静态特性和动态特性方面都有所提高,而且具有较好的鲁棒性,该控制器在工业控制中将会发挥越来越大的作用.
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| 关 键 词： | 神经网络 比例、积分、微分控制 BP网络 参数整定 恒温控制 |
| 文章编号： | 1000-7024(2008)11-2967-03 |
| 修稿时间： | 2007年9月15日 |
Research on constant temperature control system based on neural network |
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| LI Quan-xi,GONG Qing-min,CHANG Bo.Research on constant temperature control system based on neural network[J].Computer Engineering and Design,2008,29(11):2967-2969. |
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| Authors: | LI Quan-xi GONG Qing-min CHANG Bo |
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| Affiliation: | LI Quan-xi1,GONG Qing-min2,CHANG Bo2 (1. School of Computer Science , Technology,Hennan Polytechnic University,Jiaozuo 454003,China,2. School of Electrical , Automation,Henan Polytecnic University,China) |
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| Abstract: | The model of constant temperature control system is difficult to establish. In order to slove this problem, a kind of PID controller based on neural network is presented. The basic knowledge of learning arithmetic about neural network and design principle of PID based on neural network are proposed. The experimental result show that the PID controller based on neural network provides an excellent control result than the traditional PID controller. The robustly stable is excellent. This kind of controller wi... |
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| Keywords: | neural network PID control BP networks parameters self-turning constant temperature control |
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