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基于非线性自回归模型的丝杆驱动系统运动误差预测
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国家自然科学基金资助项目(51305194); 南京工程学院创新基金项目(CKJA201204)


Motion Error Prediction of Lead Screw Driven System Based on General Expression for Nonlinear Autoregressive Model
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    摘要:

    提出一种基于非线性自回归(GNAR)模型的丝杆驱动系统运动误差预测方法。将样本数据分成训练集和测试集,在训练集上建立GNAR模型,在测试集上进行预测评估。结果表明:该模型具有良好的跟踪性能,预测预报精度优于AR模型,基于GNAR模型的预测预报是一种行之有效的方法。

    Abstract:

    A motion error prediction method of the lead screw driven system based on the general expression for nonlinear autoregressive(GNAR)model was proposed. The sample data were classified as a training set and a test set, and the GNAR model was established on training set and the prediction assessment was checked on test set. The results show that the model has a good tracking performance, and its prediction accuracy is superior to AR model. Therefore the prediction based on GNAR model is an effective method.

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陈茹雯.基于非线性自回归模型的丝杆驱动系统运动误差预测[J].机床与液压,2015,43(11):24-26.
. Motion Error Prediction of Lead Screw Driven System Based on General Expression for Nonlinear Autoregressive Model[J]. Machine Tool & Hydraulics,2015,43(11):24-26

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  • 在线发布日期: 2015-11-11
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