DocumentCode :
2040789
Title :
Synchronization control of multiple surface vessels without velocity measurements
Author :
Mingyu Fu ; Lingling Yu ; Mingyang Li ; Yulong Tuo ; Chenglin Ni
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
643
Lastpage :
648
Abstract :
In this paper, we study the position synchronization problem of multiple surface vessels with model uncertainties and external disturbances. The synchronization controller is proposed under the situation when velocity measurements are unavailable. Extended state observer is employed to estimate the velocity measurements and the unknown external disturbances. Coupling errors are introduced to design the feedback control laws. It is shown that with the developed cooperative scheme, position synchronization can be achieved under an undirected connected communication graph. Based on the Lyapunov stability analysis, all the closed-loop signals are guaranteed to be uniformly ultimately bounded. Simulation results are given to demonstrate the effectiveness of the proposed methods.
Keywords :
closed loop systems; control system synthesis; feedback; graph theory; marine control; observers; position control; synchronisation; uncertain systems; velocity measurement; Lyapunov stability analysis; cooperative scheme; coupling errors; extended state observer; external disturbances; feedback control law design; model uncertainties; multiple surface vessels; position synchronization problem; synchronization controller; undirected connected communication graph; uniformly-ultimately bounded closed-loop signals; unknown external disturbances; velocity measurement estimation; Couplings; Marine vehicles; Observers; Synchronization; Trajectory; Uncertainty; Velocity measurement; Extended state observer; Multiple surface vessels; Synchronization control; Undirected graph;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237560
Filename :
7237560
Link To Document :
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