| 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.[点击复制] |
| CHEN Xiaohong，GAO Feng, QIAN Jixin and SUN Youxian.Adaptive Control of Distillation Columns Based on RBF Neural Networks[J].Control Theory and Technology,1998,15(2):226~231.[点击复制] |
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| 基于径基函数神经网络的精馏塔自适应控制 |
| Adaptive Control of Distillation Columns Based on RBF Neural Networks |
| 摘要点击 757 全文点击 418 投稿时间：1996-04-30 修订日期：1997-03-04 |
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| DOI编号 |
| 1998,15(2):226-231 |
| 中文关键词 精馏塔 非线性 RBF神经网络 逆动态模型 自适应控制 RLS算法 |
| 英文关键词 distillation column nonlinear RBF nural networks inverse dynamic model adaptive control RLS algorithm |
| 基金项目 |
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| 中文摘要 |
| 精馏塔是化工过程中最常用，最重要的操作单元，其本质的非线性及时变性使得对它的控制非常困难。本文提出了一种基于径基函数（RBF）网络的自适应控制方案。该方案简捷、可靠，具有很强的鲁棒性和抗干扰性能。将该方案应用在工业脱乙烷塔的控制中得到了令人满意的结果。 |
| 英文摘要 |
| Disillation columns are the most usual and important operating units in the process of chemical engineering. They are non-linear and time-varying, and these characteristics make the design of the control scheme very difficult. This paper proposed an adaptive control strategy based on radial basis function (RBF) neural network. The control scheme is simple, relizble and possesses strong robustness and disturbance rejection. Fairly good control results were obtained when the control scheme was applied to a distillation column. |