| 基于模糊神经网络分类器的精馏塔温度控制器设计 |
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| 引用本文： | 谷玉凯,杨滁光,王华强,王健波. 基于模糊神经网络分类器的精馏塔温度控制器设计[J]. 合肥工业大学学报(自然科学版), 2012, 0(1): 41-44,137 |
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| 作者姓名： | 谷玉凯 杨滁光 王华强 王健波 |
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| 作者单位： | 合肥工业大学电气与自动化工程学院;安徽安利合成革股份有限公司 |
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| 基金项目： | 国家自然科学基金资助项目(60974022);合肥工业大学产学研校企合作资助项目(10-469) |
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| 摘 要： | 文章对精馏塔温度控制中所遇到的参数耦合严重、非线性高、数学模型难以建立的问题,提出了一个基于模糊神经网络分类器的控制方案,以精馏塔温度、流量、液位作为输入,导热油阀门开度作为输出,通过对人工操作的自适应学习和模糊化处理,实现对精馏塔温度的智能控制。实验结果表明,该方案能够模仿人工操作,智能学习的精度很高。
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| 关 键 词： | 精馏塔 温度控制 模糊神经网络分类器 自适应学习 |
Design of distillation column temperature controller based on fuzzy neural network classifier |
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| GU Yu-kai,YANG Chu-guang,WANG Hua-qiang,WANG Jian-bo. Design of distillation column temperature controller based on fuzzy neural network classifier[J]. Journal of Hefei University of Technology(Natural Science), 2012, 0(1): 41-44,137 |
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| Authors: | GU Yu-kai YANG Chu-guang WANG Hua-qiang WANG Jian-bo |
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| Affiliation: | 1(1.School of Electric Engineering and Automation,Hefei University of Technology,Hefei 230009,China;2.Anhui Anli Artificial Leather Co.,Ltd.,Hefei 231202,China) |
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| Abstract: | In view of the problems in the temperature control of distillation column such as serious parameters coupling,high nonlinearity and difficulty in building mathematical model,a novel control scheme based on fuzzy neural network classifier is proposed in this paper.Taking the temperature,flow and liquid level as input and the valve opening as output,the intelligent control of distillation column temperature is achieved through manually operated self-adaptive learning and fuzzification processing.Experimental results show that this scheme can imitate the manual operation,and the intelligent learning is in high precision. |
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| Keywords: | distillation column temperature control fuzzy neural network classifier self-adaptive learning |
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