| 钢球磨煤机制粉过程的混合智能建模 |
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| 引用本文： | 张君,岳恒,柴天佑.钢球磨煤机制粉过程的混合智能建模[J].控制工程,2009,16(3). |
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| 作者姓名： | 张君 岳恒 柴天佑 |
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| 作者单位： | 东北大学,自动化研究中心,辽宁,沈阳,110004 |
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| 基金项目： | 国家863计划基金资助项目(2006AA04Z179) |
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| 摘 要： | 钢球磨煤机制粉系统是一个具有多变量强耦合性、强非线性、大时滞特性的对象,很难建立它的精确数学模型.针对该问题,提出钢球磨煤机制粉系统的混合智能建模策略.通过机理建模方式建立钢球磨煤机制粉系统的入口负压、磨机差压、出口温度的模型.针对机理模型输出的出口温度与现场实际误差大的问题,增加了出口温度的补偿模型.为更好反映磨机负荷,建立磨音的神经网络模型.通过与现场实验数据的对比验证了模型的有效性.
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| 关 键 词： | 钢球磨煤机 混合智能模型 RBF神经网络 |
Hybrid Intelligent Modeling of Ball Mill Coal Pulverizing Process |
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| ZHANG Jun,YUE Heng,CHAI Tian-you.Hybrid Intelligent Modeling of Ball Mill Coal Pulverizing Process[J].Control Engineering of China,2009,16(3). |
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| Authors: | ZHANG Jun YUE Heng CHAI Tian-you |
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| Affiliation: | Research Center of Automation;Northeastern University;Shenyang 110004;China |
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| Abstract: | The modelling problem of complex industrial process of ball mill coal-pulverizing system with strong couplings,high nonlinearities and large time-delay is disscussed.A hybrid intelligent modeling strategy is proposed.Using mechanism modeling method,an input negative pressure model,a differential pressure model and an output temperature model are established.Based on the mechanism model,a delay compensation model of outlet temperature is added due to the large output temperature error between the actual syst... |
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| Keywords: | ball coal mill hybrid intelligent model RBF neural network |
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