| 基于神经网络技术的间歇过程建模与优化控制方法 |
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| 引用本文： | 冯恩波,俞金寿,蒋慰孙. 基于神经网络技术的间歇过程建模与优化控制方法[J]. 华东理工大学学报(自然科学版), 1992, 0(Z1) |
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| 作者姓名： | 冯恩波 俞金寿 蒋慰孙 |
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| 作者单位： | 华东化工学院自动化研究所，华东化工学院自动化研究所，华东化工学院自动化研究所 |
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| 摘 要： | 将整个间歇生产过程表达成梯形的神经网络群,利用实际操作数据对整个网络群进行学习。同时研究了具有滚动运算特征的在线优化策略,该法完全避免了非线性系统实时辩识和建立优化模型的困难。对发酵生产过程的仿真结果,表明本文方法是有效的。
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| 关 键 词： | 神经网络 发酵 间歇过程 优化控制 模型化 过程控制 |
Batch Process Modelling and Optimizing Control Using Neural Network Techniques |
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| Feng Enbo,Yu Jinshou and Jiang Weisun. Batch Process Modelling and Optimizing Control Using Neural Network Techniques[J]. Journal of East China University of Science and Technology, 1992, 0(Z1) |
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| Authors: | Feng Enbo Yu Jinshou Jiang Weisun |
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| Affiliation: | Research Institute of Automatic Control |
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| Abstract: | Based on the analysis to the batch process, a stair-type structure of neural network model is introduced and a new strategy for optimizing control of the batch process is proposed. The new method can carry over some difficulties of the real-time nonlinear identification and modelling procedure. A simulation of the batch fermentation process shows that this approach is effective. |
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| Keywords: | neural network fermentation batch process optimizing control modelling process control |
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