Predictive Fuzzy Control for Grinding and Classification WANG Huiqing

被引：14
|
作者：
Wang Huiqing [1 ,2 ]
机构：
[1] Wuhan Inst Technol, Hubei Prov Key Lab Intelligent Robot, Wuhan, Hubei Province, Peoples R China
[2] Wuhan Inst Technol, Sch Comp Sci & Engn, Wuhan, Hubei Province, Peoples R China
来源：
2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL V | 2010年
关键词：
Predictive Control; DMC; Fuzzy Control;
D O I：
10.1109/SOCDC.2010.5682875
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is difficult to establish accurate and practical mathematic models for the process of grinding and classification due to their complicated mechanism and interrelated affecting factors. A new control algorithm is put forward to deal with the complex process in this paper by drawing the function of the prediction, feedback and emendation in DMC (Dynamic Matrix Control) based on Fuzzy Control system. Computer simulation tests of the classified control system for milling grinding indicate that predictive fuzzy control technique is better than fuzzy control to complex systems, especially having well adaptability in the slow time-varying and large time-lag systems.
引用
收藏
页码：440 / 442
页数：3
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