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基于神經(jīng)網(wǎng)絡(luò)的數(shù)控插補容錯技術(shù)
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國家科技重大專項資助項目(2009ZX04014-013-01)


ANN-based Fault Tolerance of CNC Interpolation
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    摘要:

    提出將神經(jīng)網(wǎng)絡(luò)和模糊數(shù)學(xué)應(yīng)用到數(shù)控系統(tǒng)軟件設(shè)計領(lǐng)域，以實現(xiàn)數(shù)控插補容錯技術(shù),，提高軟件可靠性,。為了驗證該方法的可行性，對基于神經(jīng)網(wǎng)絡(luò)的NURBS插補模塊進行了實驗研究,，并對速度,、加速度、插補精度,、神經(jīng)網(wǎng)絡(luò)預(yù)測精度,、容錯和實時性等方面進行了分析。實驗結(jié)果表明,，基于神經(jīng)網(wǎng)絡(luò)的插補模塊在保證加工要求的前提下實現(xiàn)了數(shù)控插補軟件容錯技術(shù),，為提高數(shù)控系統(tǒng)軟件的可靠性提供了新的途徑。

    Abstract:

    Artificial neural network (ANN) and fuzzy math were introduced to the design filed of CNC software for realizing the fault tolerance of CNC interpolation and improving the reliability of software. In addition, function aspects (velocity, acceleration, chord error, prediction accuracy, fault tolerance, real time ) from the experiment on non-uniform rational B-spline (NURBS) interpolator based on ANN were evaluated in detail. The experimental results show that the NURBS interpolation based on ANN can not only meet the requirements of the function aspects, but also realize the fault tolerance of CNC interpolation, which may provide a new strategy in the improvement of the reliability of CNC software. 

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王義強,袁修華,馬明陽,胡艷娟.基于神經(jīng)網(wǎng)絡(luò)的數(shù)控插補容錯技術(shù)[J].農(nóng)業(yè)機械學(xué)報,2011,42(7):215-219. Wang Yiqiang, Yuan Xiuhua, Ma Mingyang, Hu Yanjuan. ANN-based Fault Tolerance of CNC Interpolation[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(7):215-219.

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