DocumentCode
3102215
Title
A Two-Degree-of-Freedom IMC Parameters Online Intelligent Tuning Method
Author
Gaohua Chen ; Zhang, Jinggang ; Zhao, Zhicheng
Author_Institution
Sch. of Electron. Inf. Eng., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
fYear
2010
fDate
26-28 Sept. 2010
Firstpage
483
Lastpage
486
Abstract
Focuses on the typical process in the industrial filed, a two-degree-of-freedom (TDOF) internal model controller was designed in this paper. It can independently adjust the target tracking performance, disturbance rejection properties and robustness. The on-line intelligent tuning method based on fuzzy neural network for the TDOF internal model controller was proposed. The theory analysis and simulation results show that the proposed method is simple, parameters tuning easy, and can make the system has a good target tracking performance, disturbance rejection properties and robustness.
Keywords
fuzzy neural nets; model reference adaptive control systems; robust control; disturbance rejection; fuzzy neural network; internal model controller; online intelligent tuning method; robustness; two-degree-of-freedom IMC parameters; Decision support systems; Social network services; Zinc; Fuzzy neural network; Internal model control; Parameter tuning; Two-degree-of-freedom;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-8785-1
Type
conf
DOI
10.1109/CASoN.2010.114
Filename
5636633
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