A modified impact force measurement system based on a reconstruction method

The inaccurate solution of the force measurement comes from the lateral attenuation of loads on mechanical structure. To correct this inaccurate solution, the impact force acting on hammer are reconstructed by a Hybrid Grey-Genetic Algorithm (HGGA). This algorithm integrates a modeling process and an optimization process. A fractional order differential model is built from the observed impact force by using the Fractional Order Accumulated Generating Operation (FAGO) method. After that, the growth coefficients of this model are refined through the Genetic Algorithm (GA). This method is applied to modify an impact force measurement system. The effectiveness of the HGGA is experimentally validated by comparing with the classical force reconstruction model, which shows its superiority.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1117/12.3032505
Primary Topic
Engineering Applied Research
Type
article
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article

A modified impact force measurement system based on a reconstruction method

Xiao Hu, Zai Luo, Yang Li, Wensong Jiang et al.
Engineering Applied Research
article

A modified impact force measurement system based on a reconstruction method

Xiao Hu, Zai Luo, Yang Li, Wensong Jiang, Linzhen Shi
article en

Abstract

The inaccurate solution of the force measurement comes from the lateral attenuation of loads on mechanical structure. To correct this inaccurate solution, the impact force acting on hammer are reconstructed by a Hybrid Grey-Genetic Algorithm (HGGA). This algorithm integrates a modeling process and an optimization process. A fractional order differential model is built from the observed impact force by using the Fractional Order Accumulated Generating Operation (FAGO) method. After that, the growth coefficients of this model are refined through the Genetic Algorithm (GA). This method is applied to modify an impact force measurement system. The effectiveness of the HGGA is experimentally validated by comparing with the classical force reconstruction model, which shows its superiority.

China Jiliang University (CN)
Openalex Percentile: Top 82%
Engineering Applied Research
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