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
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;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.114