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Crank Block Steering Mechanism Optimization for Forklift Truck Based on Vector PSO

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Abstract:

Crank block steering mechanism optimization, which is a nonlinear constrained optimization problem, is important for forklift truck to get preferable steering performance. Vector particle swarm optimization (VPSO) is a swarm intelligent algorithm proposed to solve constrained optimization problems with simple concept and easy implementation. Therefore, VPSO was proposed to optimize crank block steering mechanism of forklift truck in this paper, which will be intended for minimizing the maximal error of outer wheel steering angle, maximizing the minimal transmission angle and making the transmission capability of the force better. The experimental results obtained by VPSO are compared with the results obtained by enumeration algorithm which are reliable for optimization problems. The comparison results showed that vector particle swarm optimization can get same optimal results as enumeration algorithm in much less calculation times.

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Periodical:

Advanced Materials Research (Volume 145)

Pages:

43-48

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.145.43

Citation:

Cite this paper

Online since:

October 2010

Authors:

Chao Li Sun, Jian Chao Zeng, Jeng Shyang Pan, Yuan Fang Tao

Keywords:

Crank Block Steering Mechanism of Forklift Truck, Enumeration Algorithm, Particle Swarm Optimization Algorithm (PSO)

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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References

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