DocumentCode :
2080909
Title :
Study on fuzzy-neuro immune self-adaptive PID controller for pipe racking system
Author :
Jiang Zu-zhou ; Cai Da-wei
Author_Institution :
Qingdao Univ. of Sci. & Technol., Qingdao, China
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
2406
Lastpage :
2409
Abstract :
A novel control scheme, fuzzy-neuro immune self-adaptive PID controller, was put forward aiming at the location accuracy problem for Pipe Racking System. The proposed scheme was designed based on the traditional PID theory, biology immune response mechanism and fuzzy control method. In addition, by adopting robust feedback controller, the stability that the closed-loop system in initial stage of fuzzy neural network learning was also guaranteed. The experimental results show that the fuzzy-neuro immune self-adaptive PID controller has a high control performance. The control method has fast response, no overshoot, strong robustness, self-adaptation, high control precision and it can meet the requirements of the nonlinear system, there is certainly feasible.
Keywords :
adaptive control; feedback; fuzzy control; neurocontrollers; nonlinear control systems; pipelines; robust control; three-term control; biology immune response mechanism; closed-loop system stability; fuzzy neural network learning; fuzzy-neuro immune self-adaptive PID controller; location accuracy problem; nonlinear system; pipe racking system; robust feedback controller; Accuracy; Control systems; Educational institutions; Fuzzy control; Fuzzy neural networks; Immune system; Robustness; fuzzy neural network; immune response; pipe racking system; robust controller; self-adaptive;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
Type :
conf
DOI :
10.1109/TMEE.2011.6199706
Filename :
6199706
Link To Document :
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