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基于旋量理論的復(fù)雜曲面定位算法
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    摘要:

    傳統(tǒng)的基于歐拉角的定位算法精度和效率都不高,易產(chǎn)生奇異性,,而現(xiàn)有的基于旋量理論的定位算法只適用簡(jiǎn)單曲面,。針對(duì)這種情況,,提出了基于旋量理論的復(fù)雜曲面定位算法,。首先將復(fù)雜曲面分解成多張簡(jiǎn)單曲面,,分別計(jì)算測(cè)量點(diǎn)到每張曲面的最近點(diǎn),;然后采用邊界判定法快速求取最近點(diǎn),,從而提高整個(gè)定位算法的效率,。實(shí)例仿真結(jié)果表明,該算法不僅速度快而且精度高,。

    Abstract:

    The conventional localization algorithms based on Euler angle are not sufficient in accuracy and efficiency, and singularity often occurs. Furthermore, the present positioning scheme on the basis of screw theory only adapts to simple surfaces. To overcome these shortcomings, a new strategy was proposed to cope with the complex freeform surfaces in this paper from screw theory. Firstly, the complex surfaces were subdivided into pieces of simple patches. The nearest point to each patch from the measured point was found. Then, the nearest point was located using boundary determinant. So efficiency of the localization algorithm was improved. The experimental results indicate that the approach is not only fast but also accurate.

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馬驪溟,徐毅,李澤湘.基于旋量理論的復(fù)雜曲面定位算法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2007,38(11):129-132.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(11):129-132.

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