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基于遺傳算法的機(jī)器人運(yùn)動(dòng)學(xué)參數(shù)誤差識(shí)別
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    摘要:

    針對(duì)機(jī)器人標(biāo)定過(guò)程中誤差建模與參數(shù)識(shí)別方法的繁瑣問(wèn)題,提出通過(guò)考慮參數(shù)誤差的運(yùn)動(dòng)學(xué)模型直接建立基于相對(duì)距離誤差的參數(shù)誤差方程組,并采用混合遺傳算法求解方程組的新方法,使得參數(shù)誤差識(shí)別簡(jiǎn)單易行。算例通過(guò)數(shù)值仿真,分析了采用不同的測(cè)量數(shù)據(jù)(完整的距離信息或非完整的距離信息) 進(jìn)行參數(shù)誤差識(shí)別的可行性,結(jié)果表明,只要獲得足夠多的測(cè)量數(shù)據(jù),就可以識(shí)別機(jī)器人運(yùn)動(dòng)學(xué)參數(shù)誤差,這為機(jī)器人標(biāo)定時(shí)采用一些非完整的距離測(cè)量方法提供了理論支持。

    Abstract:

    Aimed at the tedious error modeling and parameters identification in the process of robot calibration, establishing parameter error equations directly based on relative distance error using the kinematics model considering the parameters error was proposed. The hybrid genetic algorithm was adopted to solve the equations. As the given calculation example, the feasibility of identification parameters error using different measured data (complete distance info or incomplete distance info) was analyzed by numerical simulation. The results show that the robotic kinematics parameters error can be obtained if the data were measured enough. This result provides a theoretic support for using of incomplete distance measuring method in robot calibration process.  

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張永貴,黃玉美,高峰.基于遺傳算法的機(jī)器人運(yùn)動(dòng)學(xué)參數(shù)誤差識(shí)別[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(9):153-157.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(9):153-157.

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