DocumentCode
1001741
Title
Adaptive tracking control of underwater vehicle-manipulator systems based on the virtual decomposition approach
Author
Antonelli, Gianluca ; Caccavale, Fabrizio ; Chiaverini, Stefano
Author_Institution
Dipt. di Automazione, Univ. degli Studi di Cassino, Italy
Volume
20
Issue
3
fYear
2004
fDate
6/1/2004 12:00:00 AM
Firstpage
594
Lastpage
602
Abstract
A novel adaptive control law for the end-effector tracking problem of underwater vehicle-manipulator systems (UVMSs) is presented in this paper. By exploiting the serial-chain kinematic structure of the UVMS, the overall control problem is decomposed in a set of elementary control problems, each of them formulated with respect to a single rigid body in the system. The proposed approach results in a modular control scheme which simplifies application to UVMSs with a large number of links, reduces the required computational burden, and allows efficient implementation on distributed computing architectures. Furthermore, the occurrence of kinematic and representation singularities is overcome, respectively, by expressing the control law in body-fixed coordinates and representing the attitude via the unit quaternion. To show the effectiveness of the proposed control strategy, a simulation case study is developed for a vehicle in spatial motion carrying a six-degree-of-freedom manipulator.
Keywords
adaptive control; control engineering computing; distributed processing; end effectors; manipulator kinematics; underwater vehicles; adaptive tracking control; distributed computing architecture; end effector tracking; modular control; serial chain kinematic structure; underwater vehicle manipulator system; virtual decomposition approach; Adaptive control; Attitude control; Computer architecture; Control systems; Distributed computing; Kinematics; Motion control; Programmable control; Quaternions; Underwater tracking; Adaptive control; control of redundant manipulators; underwater robotics; virtual decomposition control;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/TRA.2004.825521
Filename
1303707
Link To Document