UM
Neural Network Based Adaptive Backstepping Tracking Control for Accommodation Vessel
Wen, Guoxing; Chen, C. L. Philip; Zhou, Ning; Xu, Zhao; Liu, T; Zhao, Q
2017
Conference NamePROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017)
Pages3453-3457
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherIEEE
AbstractCombined 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.
KeywordAdaptive tracking control Backstepping Neural network Accommodation Vessel
URLView the original
Indexed ByCPCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000432014404017
The Source to ArticleWOS
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Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Wen, Guoxing,Chen, C. L. Philip,Zhou, Ning,et al. Neural Network Based Adaptive Backstepping Tracking Control for Accommodation Vessel[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:3453-3457.
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