Residential College | false |
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 Name | 36th Chinese Control Conference (CCC) |
Source Publication | Chinese Control Conference, CCC |
Pages | 3453-3457 |
Conference Date | JUL 26-28, 2017 |
Conference Place | Dalian, 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. |
Keyword | Accommodation Vessel Adaptive Tracking Control Backstepping Neural Network |
DOI | 10.23919/ChiCC.2017.8027892 |
URL | View the original |
Language | 英語English |
WOS ID | WOS:000432014404017 |
Scopus ID | 2-s2.0-85032227683 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | University of Macau |
Affiliation | 1.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. |
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