Parameter optimization of laser displacement sensor based on particle swarm optimization algorithm

WANG Xiaomeng; WANG Huifeng; YAO Naifu

doi:10.7510/jgjs.issn.1001-3806.2018.02.008

LASER TECHNOLOGY > 2018 > 42(2): 181-186. > DOI: 10.7510/jgjs.issn.1001-3806.2018.02.008

WANG Xiaomeng, WANG Huifeng, YAO Naifu. Parameter optimization of laser displacement sensor based on particle swarm optimization algorithm[J]. LASER TECHNOLOGY, 2018, 42(2): 181-186. DOI: 10.7510/jgjs.issn.1001-3806.2018.02.008

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Parameter optimization of laser displacement sensor based on particle swarm optimization algorithm

School of Electronic and Control Engineering, Chang'an University, Xi'an 710064, China

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Received Date: May 24, 2017
Revised Date: June 27, 2017
Published Date: March 24, 2018

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Abstract

Abstract

In order to improve the precision of laser triangulation sensor and optimize the optical parameters of design process, through mathematical modeling and computer-aided analysis method, the relationship between key parameters of laser triangulation sensor and each index of measurement system was analyzed. A method of parameter optimization based on particle swarm algorithm was adopted. After theoretical analysis and experimental verification, the parameters to meet the requirements of optical system optimization were gotten. The results show that, the parameter is controlled by each other during designing. Search spaces and constraints of particle swarm are determined. When sensitivity S_min reaches 2.2386mm, the resolution of system can reach 2.8μm. Other parameters meet the system requirements, and the optimization efficiency is greatly improved. The optimization method is simple and convenient to operate.
- sensor technique,
- parameter optimization,
- particle swarm optimization algorithm,
- laser triangulation method

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References

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