Artificial Intelligent Solver on Windscreen Wiper Mechanism of Automobile

Article Preview

Abstract:

The power source of windscreen wiper is motor, which is the core of the entire wiper system and is very high quality requirements. The wiper motor installed on the front windshield and worm gears are generally made of one mechanical part. The four-bar linkage of windshield wiper of automobile is driven by motor through worm gears. The method of simulated annealing is a technique that has attracted significant attention as suitable for optimization problems of large scale, especially ones where a desired global extremum is hidden among many, poorer, local extrema. The simulated annealing algorithm with penalty strategy is adopted to solve the optimal model of windscreen wiper mechanism, thus motion accuracy of wiper mechanism is greatly increased, and the searching number is greatly decreased.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

533-536

Citation:

Online since:

October 2010

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Dai Ke-jie, Controlling the Windscreen Wiper System of the Automobile by Using PID, Journal of Pingdingshan University , 2008. 5, p.103.

Google Scholar

[2] Zhao Yan. Design of the Intelligent Windscreen Wiper System of the Automobile, Electronic Science and Technology, 2007. 2, p.58.

Google Scholar

[3] Aarts E H L, van Laarhoven P J M. Simulated Annealing: Theory and application, Dordrecht: D Reidel Publishing Company, (1987).

Google Scholar

[4] Luo Rui-li; Chen Zhi-fei. Optimal Design of Neodymium-iron-boron Permanent Magnet Rainbrush Motor for Auto, Basic Automation, 2007. 1, p.90.

Google Scholar

[5] Zhao Shian, Huang Ganji, Design and Study of Particle Swarm Optimization with Simulated Annealing, Journal of Baise University, 2006. 6, p.124.

Google Scholar

[6] Gao Shang , Optimization Computing Based on the Genetic Algorithm Optimization Toolbox in MatLab, Microcomputth Applications, 2002. 8, p.28.

Google Scholar