DocumentCode
2196619
Title
GA-Based Multi-Objective Optimal Design of a Planar 3-DOF Cable-Driven Parallel Manipulator
Author
Li, Yangmin ; Xu, Qingsong
Author_Institution
Dept. of Electromech. Eng., Macau Univ., Taipa
fYear
2006
fDate
17-20 Dec. 2006
Firstpage
1360
Lastpage
1365
Abstract
The architecture optimization of a three degrees of freedom (3-DOF) planar cable-driven parallel manipulator (CDPM) with multiple objectives has been implemented by means of GA approach in this paper. Firstly, the kinematics and statics issues of the CDPM are addressed, which allows the generation of the feasible workspace restricted by both the cable length limits and tension bounds. Then, the optimal designs with respect to the feasible workspace with separated considerations of dexterity and stiffness performances are carried out to obtain the architectural parameters of the manipulator. The simulation results illustrate that the separated optimizations result in reverse variation tendencies of the design parameters. In order to deal with such problem, the multi-objective optimal design for a mixed performance index is accomplished afterwards. The optimization results demonstrate the compromise effects of the proposed multi- objective function, and the results are valuable in designing a planar 3-DOF CDPM.
Keywords
dexterous manipulators; genetic algorithms; manipulator kinematics; GA; dexterity; multiobjective optimal design; planar 3-DOF cable-driven parallel manipulator; stiffness; tension bounds; Algorithm design and analysis; Biomimetics; Cables; Constraint optimization; Design optimization; Heuristic algorithms; Kinematics; Parallel robots; Rehabilitation robotics; Search methods; Cable-driven parallel manipulators; Dexterity; Optimal design; Stiffness; Workspace;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics, 2006. ROBIO '06. IEEE International Conference on
Conference_Location
Kunming
Print_ISBN
1-4244-0570-X
Electronic_ISBN
1-4244-0571-8
Type
conf
DOI
10.1109/ROBIO.2006.340127
Filename
4142064
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