The Optimal Control of Heuristic Dynamic Programming in Molecular Distillation

被引：1

作者：

Zhang, Xiumei ^{[1
]}

Dai, Wei ^{[1
]}

Liu, Yang ^{[1
]}

Zhang, Jia ^{[1
]}

Liu, Xinran ^{[1
]}

机构：

[1] Changchun Univ Technol, Inst Elect & Elect Engn, Changchun, Jilin, Peoples R China

来源：

2017 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2017), VOL 2 | 2017年

关键词：

Molecular distillation; Heuristic Dynamic Programming; neural networks; optimal control;

D O I：

10.1109/IHMSC.2017.169

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Molecular distillation technology is a kind of industrial separation technology, which can greatly improve the purity and yield of the product. However, due to the process of molecular distillation is very complex, it is difficult to establish a precise mathematical model to realize an expected control. So, in this paper, considering that BP neural network can approximate any nonlinear system, a large amount of off-line experimental data is used to establish the model of molecular distillation system by BP neural network. To obtain optimal control in molecular distillation, Heuristic Dynamic Programming technique is applied. The simulation example is provided to demonstrate the validity of the derived optimal control scheme.

引用

页码：249 / 252

页数：4

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