| 引用本文: | 陈 捷，王宁，王树青.汽油调合过程的神经内模优化控制[J].控制理论与应用,1999,16(4):532~535.[点击复制] |
| Chen Jie，Wang Ning and Wang Shuqing.Neuro-Internal Model Based Optimal Control for Gasoline Blending Processes[J].Control Theory and Technology,1999,16(4):532~535.[点击复制] |
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| 汽油调合过程的神经内模优化控制 |
| Neuro-Internal Model Based Optimal Control for Gasoline Blending Processes |
| 摘要点击 1098 全文点击 601 投稿时间：1997-09-01 修订日期：1998-09-21 |
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| DOI编号 |
| 1999,16(4):532-535 |
| 中文关键词 汽油调合 管道汽油自动调合系统 神经网络 内模控制 非线性优化 |
| 英文关键词 gasoline-blending automatic gasoline pipe blending system neural network internal model control nonlinear programming |
| 基金项目 |
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| 中文摘要 |
| 针对某炼油厂的管道汽油自动调合系统，建立了汽油调合过程的神经网络模型，在此基础上，设计出汽油辛烷值的神经内模优化控制器。仿真结果表明了对产品汽油辛烷值的在线闭环优化控制方案是可行的。 |
| 英文摘要 |
| In this paper，a static Double Parallel Feed Forward Neural Network combined with a linear dynamic model is proposed to model the gasoline pipe blending system of a refinery.And the optimal controller based on neuro-internal model is designed to optimize and control the gasoline octane number on real time.Simulation control results on gasoline-blending process prove the effectiveness of this novel controller. |