DocumentCode
3094719
Title
Predictive Control Research Based PID Neural Network of Large Ship
Author
LV, Jin ; GUO, Chen ; Yun-feng Zheng ; Zhi-peng Shen ; YUAN, Shi-chun
Author_Institution
Dalian Maritime Univ., Dalian
fYear
2007
fDate
5-8 Nov. 2007
Firstpage
683
Lastpage
687
Abstract
Aiming to the control feature of large delay system like ships, designing a 2-rank derivative multi-step neural network predictive model and the algorithm, and presenting a fuzzy control scheme based on the model with PID neural network and fuzzy CMAC controller, we solve the problems of model online identification and controller online design in traditional adaptive control, so that the high precision output fellow-up control of systems with large delay and uncertain nonlinear features can be realized. Simulation results show that the method had perfect control effect.
Keywords
adaptive control; cerebellar model arithmetic computers; control system synthesis; delay systems; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; predictive control; ships; three-term control; uncertain systems; adaptive control; controller online design; delay system; fuzzy CMAC controller; fuzzy control scheme; multistep neural network; online identification model; predictive control research; ship PID neural network; uncertain nonlinear features; Algorithm design and analysis; Delay systems; Fuzzy control; Fuzzy neural networks; Marine vehicles; Neural networks; Nonlinear control systems; Predictive control; Predictive models; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
Conference_Location
Taipei
ISSN
1553-572X
Print_ISBN
1-4244-0783-4
Type
conf
DOI
10.1109/IECON.2007.4459953
Filename
4459953
Link To Document