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 :
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