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Adaptive Ship Course Following Control Based on Sufficiently Smooth Projection Operator
Cao,Yuchi1,2; Li,Tieshan1,2; Chen,C. L.Philip3; Shan,Oihe1,2; Yu,Renhai1,2
2019-01-22
Conference NameChinese Automation Congress (CAC)
Source PublicationProceedings 2018 Chinese Automation Congress, CAC 2018
Pages3213-3217
Conference Date2018/11/30-2018/12/02
Conference PlaceXian, CHINA
Abstract

An adaptive ship course following control law is proposed in this paper. Backstepping technology is employed as the main control framework. A sufficiently smooth projection operator and Nussbaum function are used to overcome the parameter uncertainties and unknown direction of control gain respectively. An auxiliary design system and Gaussian error function are utilized to tackle the limitation on rudder angle. The proposed controller can make the course tracking error be arbitrarily small by selecting appropriate design parameters and guarantee all signals in system to be uniform ultimate boundedness. Two simulation results show and verify that good dynamic performance can be obtained.

KeywordAuxiliary Design System Nussbaum Function Projection Operator Ship Course Control
DOI10.1109/CAC.2018.8623172
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaAutomation & Control Systems
WOS SubjectAutomation & Control Systems
WOS IDWOS:000459239503050
Scopus ID2-s2.0-85062777464
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Navigation College,Dalian,China
2.Dalian Maritime University,Dalian,China
3.Faculty of Science and Technology,University of Macau,Macao
Recommended Citation
GB/T 7714
Cao,Yuchi,Li,Tieshan,Chen,C. L.Philip,et al. Adaptive Ship Course Following Control Based on Sufficiently Smooth Projection Operator[C], 2019, 3213-3217.
APA Cao,Yuchi., Li,Tieshan., Chen,C. L.Philip., Shan,Oihe., & Yu,Renhai (2019). Adaptive Ship Course Following Control Based on Sufficiently Smooth Projection Operator. Proceedings 2018 Chinese Automation Congress, CAC 2018, 3213-3217.
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