DocumentCode :
2045030
Title :
Singularity analysis of fully-constrained cable-driven parallel robots with seven cables
Author :
Xiumin Diao
Author_Institution :
Sch. of Eng. Technol., Purdue Univ. West Lafayette, West Lafayette, IN, USA
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
1537
Lastpage :
1541
Abstract :
Singularity analysis of parallel robots is an important issue. A parallel robot could be out of control or crash in a singular configuration. The unidirectional constraint of cables makes the singularity analysis of cable-driven parallel robots different from that of rigid-link parallel robots even if they have similar kinematical architectures. This paper discusses various categories of singularities of fully-constrained cable-driven parallel robots. Based on their natures, singularities of cable-driven parallel robots are classified into two categories: the Jacobian singularity and the force-closure singularity. A Jacobian singularity occurs when the Jacobian matrix of a cable-driven parallel robot loses its full rank. When the Jacobian matrix of a cable-driven parallel robot has a full rank, the cables´ inability to generate tension will lead to force-closure singularities, which can always happen to fully-constrained cable-driven parallel robots. An algorithm of identifying force-closure singularities of fully-constrained cable-driven parallel robots with seven cables is proposed. Understanding of the natures of singularities is important for the design and control of cable-driven parallel robots.
Keywords :
Jacobian matrices; cables (mechanical); robot kinematics; Jacobian matrix; Jacobian singularity; force-closure singularity; fully-constrained cable-driven parallel robots; rigid-link parallel robots; singular configuration; singularity analysis; unidirectional constraint; Force; Jacobian matrices; Kinematics; Manipulators; Mechatronics; Parallel robots; cable robots; cable-driven parallel robots; parallel robots; singularity analysis;
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.2015.7237713
Filename :
7237713
Link To Document :
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