| 基于径基函数神经网络的精馏塔自适应控制 |
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| 引用本文： | 陈小红,高峰,钱积新,孙优贤.基于径基函数神经网络的精馏塔自适应控制[J].控制理论与应用,1998,15(2):226-231. |
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| 作者姓名： | 陈小红 高峰 钱积新 孙优贤 |
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| 作者单位： | 同济大学CIMS研究中心!上海，200092，浙江大学工业控制研究所!杭州，310027，浙江大学工业控制研究所!杭州，310027，浙江大学工业控制研究所!杭州，310027 |
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| 基金项目： | 国家自然科学基金!69334010 |
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| 摘 要： | 精馏塔是化工过程中最常用，最重要的操作单元，基本质的非线性及时变性使得对它控制军权
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| 关 键 词： | 精馏塔 RBF神经网络 化工过程 自适应控制 |
| 收稿时间： | 1996/4/30 0:00:00 |
| 修稿时间： | 3/4/1997 12:00:00 AM |
Adaptive Control of Distillation Columns Based on RBF Neural Networks |
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| CHEN Xiaohong,GAO Feng,QIAN Jixin and SUN Youxian.Adaptive Control of Distillation Columns Based on RBF Neural Networks[J].Control Theory & Applications,1998,15(2):226-231. |
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| Authors: | CHEN Xiaohong GAO Feng QIAN Jixin and SUN Youxian |
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| Abstract: | Disillation columns are the most usual and important operating units in the process of chemicalengineering. They are non-linear and time-varying,and these characteristics make the design of the controlscheme very difficult. This paper proposed an adaptive control strategy based on radial basis function (RBF)neural network. The control scheme is simple,reliable and possesses strong robustness and disturbance rejection. Fairly good control results were obtained when the control scheme was applied to a distillation collumn. |
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| Keywords: | distillation column nonlinear RBF nural networks inverse dynamic model adaptive control RLS algorithm |
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