| 基于燃烧火焰图象特征的回转窑神经网络控制系统 |
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| 引用本文： | 李树涛,王耀南,张昌凡.基于燃烧火焰图象特征的回转窑神经网络控制系统[J].自动化学报,2002,28(4):591-595. |
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| 作者姓名： | 李树涛 王耀南 张昌凡 |
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| 作者单位： | 1.湖南大学电气与信息工程学院,长沙; |
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| 基金项目： | 国家“86 3”高技术计划 ( 86 3- 511- 984 5- 0 0 2 )资助 |
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| 摘 要： | 提出了一种基于燃烧火焰图象特征的回转窑神经网络控制系统.系统主要由两部分组
成,一部分是回转窑煅烧带火焰燃烧状态识别系统,包括火焰图象获取、预处理、分割、特征提
取与识别;另一部分是基于高斯基函数神经网络的控制系统.实际运行结果表明该系统的有效
性和实用性.
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| 关 键 词： | 视觉检测 图像处理 神经网络 模糊逻辑 回转窑 |
| 收稿时间： | 2000-3-28 |
| 修稿时间： | 2000年3月28日 |
NEURAL NETWORK CONTROL SYSTEM FOR ROTARY KILN BASED ON FEATURES OF COMBUSTION FLAME |
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| LI Shu-Tao,WANG Yao-Nan,ZHANG Chang-Fan.NEURAL NETWORK CONTROL SYSTEM FOR ROTARY KILN BASED ON FEATURES OF COMBUSTION FLAME[J].Acta Automatica Sinica,2002,28(4):591-595. |
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| Authors: | LI Shu-Tao WANG Yao-Nan ZHANG Chang-Fan |
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| Affiliation: | 1.College of Electrical and Information,Hunan University,Changsha;National Laboratory of Pattern Recognition,Institute of Automation,CAS,Beijing |
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| Abstract: | In this paper, a neural network control system for rotary kiln based on features of combustion flame is proposed. The system consists of two main parts. One is status recognition system of calcine band flame, which is composed of image capturing, preprocessing, segmentation, feature extraction and pattern recognition. The other is neural network control system using Gaussian potential function network(GPFN). The practical operating results illustrate effectiveness and practicability of the proposed system. |
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| Keywords: | Visual detection image processing neural network fuzzy logic rotary kiln |
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