应用潜变量回归在线补偿双直接进给轴热误差

发布时间：2019-02-14 14:02

【摘要】：为了提高直线电机驱动的双直接进给轴的运动精度,对该类进给轴的热误差进行了建模并研究了误差补偿方法。分析了双直接进给轴进给过程中热误差产生的原因及其补偿的复杂性,给出一种基于潜变量回归的双直接进给轴热误差在线补偿方法。该方法应用激光干涉仪测量进给轴的热变形量,使用热电偶和红外测温仪测量进给轴关键点的温度变化;通过时间匹配变形和温度数据得到统计样本并建立基于潜变量回归的热误差识别模型。以模型的在线计算确定误差补偿量,给出了与数控系统兼容的补偿控制输出策略及补偿系统构建方案。在自构建的龙门双直线电机驱动进给轴平台上进行了在线补偿实验。结果表明:应用潜变量回归方法对双直接进给轴进行热误差补偿可使双直接进给轴的热误差减小75%。
[Abstract]:In order to improve the motion accuracy of double direct feed shaft driven by linear motor, the thermal error of this kind of feed shaft is modeled and the error compensation method is studied. This paper analyzes the causes of heat error and the complexity of compensation in the process of double direct feed shaft feeding, and presents an on-line compensation method of double direct feed shaft thermal error based on latent variable regression. The laser interferometer is used to measure the thermal deformation of the feed shaft, and the thermocouple and infrared thermometer are used to measure the temperature change of the key point of the feed shaft. The statistical samples are obtained by time-matched deformation and temperature data and the thermal error identification model based on latent variable regression is established. Based on the on-line calculation of the model, the error compensation is determined, and the compensation control output strategy compatible with NC system and the scheme of compensation system construction are given. The online compensation experiment was carried out on the self-built double linear motor drive feed shaft platform. The results show that the thermal error of double direct feed shaft can be reduced by 75% by using latent variable regression method.
【作者单位】：上海理工大学机械工程学院;
【基金】：国家自然科学基金资助项目(No.51005158) 国家科技重大专项资助项目(No.2013ZX04008-011-02)
【分类号】：TG659

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