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

Fu Xiang Zhang; Wen Zhong Li

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 84-85Particle Swarm Optimization Based Dimension...

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

Abstract:

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

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Periodical:

Applied Mechanics and Materials (Volumes 84-85)

Pages:

214-218

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.84-85.214

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Online since:

August 2011

Authors:

Fu Xiang Zhang, Wen Zhong Li

Keywords:

Dimension Synthesis, Elastic Bungee Jumping Ropes, Experimental Mechanism, Particle Swarm Optimization Algorithm (PSO)

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References

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