Real-time fuzzy predictive control of a column flotation process

被引：6
|
作者：
Vieira, Susana M. [1 ]
Sousa, Joao M. C. [1 ]
Durao, F. O. [2 ]
机构：
[1] Univ Tecn Lisboa, Inst Super Tecn, Dept Mech Engn, Av Rovisco Pais 1, P-1049001 Lisbon, Portugal
[2] Univ Tech Lisbon, Inst Super Tecn, Dept Min Engn, P-1049001 Lisbon, Portugal
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4 | 2007年
关键词：
D O I：
10.1109/FUZZY.2007.4295610
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The process under study has four manipulating variables: feed flow rate, washing water, air and rejected flow rates. Column flotation process is an example of a complex, nonlinear and multivariable system. Fuzzy modeling is a well-known modeling technique, which has been applied to complex and nonlinear processes. Fuzzy multivariable modeling with fuzzy model predictive control is used in this paper to control a laboratory setup of a flotation column. Moreover, the control strategy is tested in real-time. Results show that the applied methods led to a good control performance of all the controlled variables.
引用
收藏
页码：1631 / +
页数：2
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