DocumentCode
1973513
Title
On-Line Intelligent Control of Submarine Periscopes
Author
Kazemy, Ali ; Hosseini, Seyed Amin ; Farrokhi, Mohammad
Author_Institution
Iran Univ. of Sci. and Technol., Tehran
fYear
2007
fDate
4-7 June 2007
Firstpage
245
Lastpage
250
Abstract
In this paper, first, the dynamic equations of a submarine periscope will be extracted and verified with real data. These data are acquired from an experimental setup. Then, using a neural network, an intelligent control method will be developed to control the periscope model. The neural network will be trained on-line to cope with the changes in the system parameters. Simulation results will be compared with off-line trained neuro controller, which reveals good performance of the controller.
Keywords
intelligent control; neural nets; telescopes; underwater vehicles; neural network; neurocontroller; online intelligent control; submarine periscopes; Cameras; Equations; Image sequences; Intelligent control; Kinematics; Mirrors; Neural networks; Nonlinear dynamical systems; Power system dynamics; Underwater vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on
Conference_Location
Vigo
Print_ISBN
978-1-4244-0754-5
Electronic_ISBN
978-1-4244-0755-2
Type
conf
DOI
10.1109/ISIE.2007.4374606
Filename
4374606
Link To Document