Task-priority redundancy resolution on acceleration level for underwater vehicle-manipulator system
Author(s) -
Qirong Tang,
Le Liang,
Jianhua Xie,
Yinghao Li,
Zhenqiang Deng
Publication year - 2017
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.1177/1729881417719825
Subject(s) - computer science , redundancy (engineering) , acceleration , underwater , kinematics , control theory (sociology) , simulation , artificial intelligence , oceanography , physics , control (management) , classical mechanics , geology , operating system
A task-priority redundancy resolution with restoring moments optimized on acceleration level for the underwater vehicle-manipulator system is investigated in this article. Redundant resolution is a key and difficult problem in underwater vehicle-manipulator system’s trajectory planning. Firstly, kinematic modeling and dynamic modeling based on Lagrange method are studied. To overcome acceleration’s sudden change in traditional task-priority method, a new redundancy resolution method on the acceleration level is proposed. In this approach, a scalar potential function is established and used for reducing the effect of restoring moments by applying gradient projection. Finally, simulation is performed to verify the effectiveness of the proposed approach by comparing with traditional approaches.
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