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