王义强,袁修华,马明阳,胡艳娟.基于神经网络的数控插补容错技术[J].农业机械学报,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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基于神经网络的数控插补容错技术   [下载全文]
ANN-based Fault Tolerance of CNC Interpolation   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  数控插补  神经网络  模糊判断  容错
基金项目:国家科技重大专项资助项目(2009ZX04014-013-01)
作者单位
王义强 吉林大学 
袁修华 吉林大学 
马明阳 吉林大学 
胡艳娟 北华大学 
中文摘要:提出将神经网络和模糊数学应用到数控系统软件设计领域,以实现数控插补容错技术,提高软件可靠性。为了验证该方法的可行性,对基于神经网络的NURBS插补模块进行了实验研究,并对速度、加速度、插补精度、神经网络预测精度、容错和实时性等方面进行了分析。实验结果表明,基于神经网络的插补模块在保证加工要求的前提下实现了数控插补软件容错技术,为提高数控系统软件的可靠性提供了新的途径。
Wang Yiqiang  Yuan Xiuhua  Ma Mingyang  Hu Yanjuan
Jilin University;Jilin University;Jilin University;Beihua University
Key Words:CNC interpolation, Artificial neural network, Fuzzy judgment, Fault tolerance
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. 

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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