DocumentCode
477830
Title
Fuzzy Immune PI Control of Networked Control System Based on ADW Time-Delay Prediction
Author
Shi, Tingna ; Wang, Sujuan ; Fang, Hongwei ; Chen, Zhengwei
Author_Institution
Tianjin Key Lab. of Process Meas. & Control, Tianjin Univ., Tianjin
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
76
Lastpage
80
Abstract
The time-delay induced by network in control system is an important factor that affects system stability and dynamic performance. An arithmetic composed of Smith prediction compensator and fuzzy immune PI controller is designed to compensate the time-delay of the networked control system. Average delay window (ADW) is used to predict the current network time-delay which is compensated by the Smith compensator. In this manner, for the existing of prediction error caused by ADW, the Smith compensator can not compensate the delay absolutely. Therefore, the immune PI controller is applied to enhance the Qos of the networked control system. In this controller, the coefficients of PI controller are regulated according to the control input. If parameters and nonlinear function are chosen properly, the performance of the system can be improved. Simulation results show that the proposed approach can minish the overshot and response time, and make system more robust in great disturb and uncertain environment.
Keywords
PI control; control system synthesis; delay systems; distributed parameter systems; fuzzy control; stability; PI controller; Smith prediction compensator; average delay window; fuzzy immune PI control; networked control system; system stability; time-delay prediction; Arithmetic; Control systems; Delay effects; Fuzzy control; Fuzzy systems; Linear feedback control systems; Networked control systems; Pi control; Sampling methods; Stability; Immune PI Control; Networked Control System; Smith Predictor; Time-delay;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.55
Filename
4666217
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