UM
Residential Collegefalse
Status已發表Published
Neural network based adaptive backstepping tracking control for accommodation vessel
Wen G.1; Chen C.L.P.3; Zhou N.4; Xu Z.2
2017-09-07
Conference Name36th Chinese Control Conference (CCC)
Source PublicationChinese Control Conference, CCC
Pages3453-3457
Conference DateJUL 26-28, 2017
Conference PlaceDalian, PEOPLES R CHINA
Abstract

Combined with the backstepping technique, a neural network (NN)-based adaptive tracking control scheme is proposed for the Accommodation Vessel (AV). The control objective is to steer AV following the trajectory of Floating Production Storage and Offloading (FPSO) and keeping the desired distance with FPSO so that the smooth gangway operation can be achieved. In order to fulfill the control task, backstepping is used to achieve the tracking of trajectory; adaptive neural network is used to approximate the unknown nonlinear dynamic of AV for controller design. Finally, it is proven that the proposed control approach can guarantee AV following to FPSO. The simulation results further demonstrate effectiveness of the proposed method.

KeywordAccommodation Vessel Adaptive Tracking Control Backstepping Neural Network
DOI10.23919/ChiCC.2017.8027892
URLView the original
Language英語English
WOS IDWOS:000432014404017
Scopus ID2-s2.0-85032227683
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Binzhou University
2.Northwestern Polytechnical University
3.Universidade de Macau
4.Fujian Agriculture and Forestry University
5.Dalian Maritime University
Recommended Citation
GB/T 7714
Wen G.,Chen C.L.P.,Zhou N.,et al. Neural network based adaptive backstepping tracking control for accommodation vessel[C], 2017, 3453-3457.
APA Wen G.., Chen C.L.P.., Zhou N.., & Xu Z. (2017). Neural network based adaptive backstepping tracking control for accommodation vessel. Chinese Control Conference, CCC, 3453-3457.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wen G.]'s Articles
[Chen C.L.P.]'s Articles
[Zhou N.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wen G.]'s Articles
[Chen C.L.P.]'s Articles
[Zhou N.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wen G.]'s Articles
[Chen C.L.P.]'s Articles
[Zhou N.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.