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