DocumentCode :
1979669
Title :
Different drive models of USV under the wind and waves disturbances MPC trajectory tracking simulation research
Author :
Wang, L. ; Chu, X.M. ; Liu, C.G.
Author_Institution :
Eng. Res. Center for Transp. Safety, Wuhan Univ. of Technol., Wuhan, China
fYear :
2015
fDate :
25-28 June 2015
Firstpage :
563
Lastpage :
568
Abstract :
For USV (unmanned surface vessels) cruise trajectory problem, this paper makes the research for two different drive models under the wind and waves disturbances of trajectory tracking control. Firstly, the characteristics of the USV is analyzed, then establishes the full drive and underactuated drive motion models of USV under the wind and waves disturbances environment. Secondly, a series of constraints based on the models is set, and then uses the MPC (model predictive control) algorithm to forecast the USV cruise paths, in order to infinite close to the expected route. Finally using Matlab to simulate, tracking control results are obtained, and then analyzes the results. Through the above MPC controller simulation research, it can effectively tracking the USV trajectory under the different driving models. Therefore it ensures the safety of the USV cruise work smoothly according to the requirement and then promotes the application of the USV.
Keywords :
drives; marine control; marine safety; mobile robots; predictive control; remotely operated vehicles; telerobotics; trajectory control; MPC trajectory tracking; Matlab; cruise trajectory problem; drive models; full drive drive motion models; model predictive control; safety; trajectory tracking control; underactuated drive motion models; unmanned surface vessels; wave disturbances; wind disturbances; Aerospace electronics; Drives; Marine vehicles; Mathematical model; Safety; Trajectory; Transportation; MPC; full drive; trajectory tracking; underactuated drive; wind and waves disturbances;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Information and Safety (ICTIS), 2015 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-8693-4
Type :
conf
DOI :
10.1109/ICTIS.2015.7232199
Filename :
7232199
Link To Document :
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