Journal
ROBOTICA
Volume 27, Issue -, Pages 67-78Publisher
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0263574708004530
Keywords
Parallel manipulators; Error model; Accuracy; Workspace; Optimal design
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Funding
- University of Macau [RG065/06-07S/08T/LYM/FST]
- Macao Science and Technology Development Fund [069/2005/A]
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In this paper. the optimization of architectural parameters for a class of translational parallel kinematic machine (PKM) is performed with the particle swarm optimization (PSO) to achieve the best accuracy characteristics. The conventional error transformation matrix (ETM) is derived based on the differentiation of kinematic equations, and a new error amplification index (EAI) over a usable workspace is proposed as an error performance index for the optimization. To validate the efficiency of the PSO method, both the traditional direct search method and the genetic algorithm (GA) are implemented as well. The simulation results not only show the advantages of PSO method for the architectural optimization. but also reveal the necessity to introduce the EAI for the optimal design. And the results are valuable for architectural design of the PKM for machine tool applications.
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