Improved Genetic Algorithm Applied in Calibrating a Three-axis Measuring Device

摘要：

It is very difficult to avoid the ortho-error and gain error in three-axis measuring device by means of improving fabrication technics, and the measure precision is greatly limited by these errors. A model for measure system error was built by the mapping relationship between the measure system and a virtual ortho-system. Gray coded improved genetic algorithm was brought forward for calibrating ortho-error and gain error among three measuring axes offline. Simulation results indicate that a triaxial measure system can be calibrated efficiently by this algorithm, and a new approach was provided for solving this kind of problem.

关键词： triaxial error modeling calibration improved genetic algorithm gray code

作者: Qiang Wen Yizhen Yang Yongfeng Shao

作者单位: College of science Harbin Engineering University Harbin,Heilongjiang Province,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）