Volume 4: 36th Mechanisms and Robotics Conference, Parts a and B 2012
DOI: 10.1115/detc2012-70195
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Design Optimization of a 3-D Three Cable Driven Manipulator

Abstract: This paper presents simulation and optimization of a 3-D three cable driven manipulator. For some specific paths in the workspace volume, motions of the robot before optimization are simulated and tension in the cables and stiffness of the cable robot for various points on the paths are determined. By selecting a function which is related to the stiffness matrix of the robot and considering it as the objective function of genetic algorithm, vertical positions of the connection points on the base platform as th… Show more

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Cited by 4 publications
(3 citation statements)
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“…Moreover, the design optimization schemes of spatial cable robots are displayed in previous studies. 2226 The obtained results are useful in designing such spatial cable–driven robots under different conditions. However, the main drawbacks of such device are lack of mobility and need large space for installation.…”
Section: Introductionmentioning
confidence: 93%
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“…Moreover, the design optimization schemes of spatial cable robots are displayed in previous studies. 2226 The obtained results are useful in designing such spatial cable–driven robots under different conditions. However, the main drawbacks of such device are lack of mobility and need large space for installation.…”
Section: Introductionmentioning
confidence: 93%
“…The previous literature for kinematic, 2,5,1026 dynamic modeling, stability, and control 1,4,27–31 of parallel cable-driven robotic systems is vast. In general, CSRs contain an end-effector and a number of acting cables connected to the end-effector, whereas the cable drivers are usually mounted on the base and not on the mobile platform.…”
Section: Introductionmentioning
confidence: 99%
“…Standard GA is performed to maximize the stiffness or minimize the cable tension in the desired workspace, or to maximize the workspace. [83][84][85][86][87] The GA has been evaluated through combining with other algorithms to pursue global optimal solutions or accelerate the convergence. Jamwal and Hussain 88 proposes a biased fuzzy sorting genetic algorithm (BFSGA) based on the fuzzy sorting genetic algorithm (FSGA).…”
Section: Workpace Analysis and Optimal Designmentioning
confidence: 99%