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    Genetic Algorithm for Calibrating a Three-Axis Measuring System

    Source: Journal of Aerospace Engineering:;2012:;Volume ( 025 ):;issue: 003
    Author:
    Wen Qiang
    ,
    Shao Yong-feng
    ,
    Yang Yi-zhen
    DOI: 10.1061/(ASCE)AS.1943-5525.0000147
    Publisher: American Society of Civil Engineers
    Abstract: It is very difficult to avoid the orthoerror and gain error in the three-axis measuring device by means of improving the manufacturing process, and the measure precision is tremendously limited by these errors. A model for this study was built by the mapping relationship between the measure system and the virtual orthosystem. A genetic algorithm was proposed for calibrating the orthoerror and gain error among three measuring axes and was compared with other existing approaches presented in the literature. The results of simulation demonstrate that the genetic algorithm shows a better performance than other algorithms, and a triaxial measure system can be calibrated more efficiently by genetic algorithm.
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      Genetic Algorithm for Calibrating a Three-Axis Measuring System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/56293
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    contributor authorWen Qiang
    contributor authorShao Yong-feng
    contributor authorYang Yi-zhen
    date accessioned2017-05-08T21:33:52Z
    date available2017-05-08T21:33:52Z
    date copyrightJuly 2012
    date issued2012
    identifier other%28asce%29as%2E1943-5525%2E0000147.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/56293
    description abstractIt is very difficult to avoid the orthoerror and gain error in the three-axis measuring device by means of improving the manufacturing process, and the measure precision is tremendously limited by these errors. A model for this study was built by the mapping relationship between the measure system and the virtual orthosystem. A genetic algorithm was proposed for calibrating the orthoerror and gain error among three measuring axes and was compared with other existing approaches presented in the literature. The results of simulation demonstrate that the genetic algorithm shows a better performance than other algorithms, and a triaxial measure system can be calibrated more efficiently by genetic algorithm.
    publisherAmerican Society of Civil Engineers
    titleGenetic Algorithm for Calibrating a Three-Axis Measuring System
    typeJournal Paper
    journal volume25
    journal issue3
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/(ASCE)AS.1943-5525.0000147
    treeJournal of Aerospace Engineering:;2012:;Volume ( 025 ):;issue: 003
    contenttypeFulltext
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