Hybrid expert system for raw materials blending

被引：14
作者：
Duan, Xiao-Gang [1 ,2 ]
Yang, Chun-Hua [1 ]
Li, Han-Xiong [2 ,3 ]
Gui, Wei-Hua [1 ]
Deng, Hua [2 ]
机构：
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China
[2] Cent S Univ, Sch Mech & Elect Engn, Changsha 410083, Peoples R China
[3] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
来源：
CONTROL ENGINEERING PRACTICE | 2008年 / 16卷 / 11期
关键词：
raw materials blending; supervisory control; hybrid expert system;
D O I：
10.1016/j.conengprac.2008.03.008
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents a case study on the practical implementation of a hybrid expert system for a raw materials blending process (RMBP). Based oil blending mechanism and expert knowledge, a hybrid expert system for supervisory control is developed to optimize its performance. With the help of a compensation model and a prediction model, the proposed hybrid expert system can replace the human operator for most of the operations in the process. Both experiment and industrial applications show the feasibility and effectiveness of the developed system, and its bright potential in application of the control of the RMBP. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1364 / 1371
页数：8
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