Particle Swarm Optimization Based Dimension Synthesis of the Experimental Mechanism for Elastic Bungee Jumping Ropes

Abstract:

Article Preview

In order to provide an experimental machine for elastic bungee jumping ropes, a prototype of experimental mechanism was designed, and its principles were analyzed. A dimension synthesis method of the experimental mechanism based on the particle swarm optimization (PSO) was brought forward. The aim of optimization was to find the optimized parameters of the mechanism by which the elastic bungee jumping ropes were pulled at the minimum swing angle. An optimization program of the PSO algorithm in the Matlab environment was developed and the optimal calculation was done. The result proved the validity of the algorithm. The calculation result showed that the optimal algorithm made the elastic bungee jumping ropes pulled at the minimum swing angle of only 8.783 degree, which was better than that of the handwork drawing method used by an engineer, so the parameters got by the PSO method can

Info:

Periodical:

Edited by:

Aimin Yang, Jingguo Qu and Xilong Qu

Pages:

214-218

DOI:

10.4028/www.scientific.net/AMM.84-85.214

Citation:

F. X. Zhang and W. Z. Li, "Particle Swarm Optimization Based Dimension Synthesis of the Experimental Mechanism for Elastic Bungee Jumping Ropes", Applied Mechanics and Materials, Vols. 84-85, pp. 214-218, 2011

Online since:

August 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.