Paper Title:
Multi-Objective Optimization of a 2-DoF Purely Translational Parallel Manipulator
  Abstract

The paper addresses the multi-objective optimization of a 2-DoF purely translational parallel manipulator. The kinematic analysis of the Proposed T2 parallel robot is introduced briefly. The objective functions are optimized simultaneously to improve Regular workspace Share (RWS) and Global Conditioning Index (GCI). A Multi-Objective Evolution Algorithm (MOEA) based on the Control Elitist Non-dominated Sorting Genetic Algorithm (controlled ENSGA-II) is used to find the Pareto front. The optimization results show that this method is efficient. The parallel manipulator prototype is also exhibited here.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Industrial Robotics and Automation
Edited by
Xin Chen
Pages
794-798
DOI
10.4028/www.scientific.net/AMR.317-319.794
Citation
Z. B. Li, Y. J. Lou, Y. S. Zhang, Z. X. Li, "Multi-Objective Optimization of a 2-DoF Purely Translational Parallel Manipulator", Advanced Materials Research, Vols. 317-319, pp. 794-798, 2011
Online since
August 2011
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Price
$32.00
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