Improved predictive control and optimization based on modified BP neural network model in diesel oil blending

被引：0
|
作者：
Zhao, YK [1 ]
Li, XJ [1 ]
Wang, B [1 ]
机构：
[1] Nanjing Univ Technol, Dept Automat, Nanjing 210009, Peoples R China
来源：
8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XI, PROCEEDINGS: CONTROL, COMMUNICATION AND NETWORK SYSTEMS, TECHNOLOGIES AND APPLICATIONS | 2004年
关键词：
BP neural network; diesel oil blending; predictive control; linear programming;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the light of the multi-inputs and multi-outputs objects of the diesel oil blending production in the oil refinery, this paper proposed an optimization method of continuous diesel oil blending production with the constraints of the quality indices such as the 50% distillation range, acidity and the Cetane value. It also provides a predictive control model based on BP neural network. The Simulation results show that the linear optimization method proposed by this paper can compute the optimal formula of the diesel oil blending production. With the constraints of the production capability and the indices of the product quality, the predictive control model can realize the optimal utilization of the component oils and finally raise the profit of production.
引用
收藏
页码：272 / 277
页数：6
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