Incremental fuzzy supervisory controller design for optimizing the injection molding process

被引：20
作者：
Vagelatos, GA [1 ]
Rigatos, GG [1 ]
Tzafestas, SG [1 ]
机构：
[1] Natl Tech Univ Athens, Dept Elect & Comp Engn, Intelligent Robot & Automat Lab, GR-15773 Athens, Greece
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2001年 / 20卷 / 02期
关键词：
injection molding process; incremental fuzzy supervisory control; self-tuning systems; knowledge-based systems;
D O I：
10.1016/S0957-4174(00)00060-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a newly developed fuzzy supervisory control system for the injection molding process is presented. The system performs automatic tuning of the machine operating points and reduces the amount of human effort needed for a complete multi-objective optimization of the machine settings. The optimal tuning is facilitated by a priority policy based on the significance of defects. The experimental results obtained from the application of the proposed fuzzy control architecture to a real industrial environment were very encouraging. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：207 / 216
页数：10
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