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基于神經(jīng)網(wǎng)絡(luò)的數(shù)控插補(bǔ)容錯(cuò)技術(shù)
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國家科技重大專項(xiàng)資助項(xiàng)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(jì)領(lǐng)域，以實(shí)現(xiàn)數(shù)控插補(bǔ)容錯(cuò)技術(shù)，提高軟件可靠性。為了驗(yàn)證該方法的可行性，對(duì)基于神經(jīng)網(wǎng)絡(luò)的NURBS插補(bǔ)模塊進(jìn)行了實(shí)驗(yàn)研究，并對(duì)速度、加速度、插補(bǔ)精度、神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)精度、容錯(cuò)和實(shí)時(shí)性等方面進(jìn)行了分析。實(shí)驗(yàn)結(jié)果表明，基于神經(jīng)網(wǎng)絡(luò)的插補(bǔ)模塊在保證加工要求的前提下實(shí)現(xiàn)了數(shù)控插補(bǔ)軟件容錯(cuò)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(qiáng),袁修華,馬明陽,胡艷娟.基于神經(jīng)網(wǎng)絡(luò)的數(shù)控插補(bǔ)容錯(cuò)技術(shù)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),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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