混合KPLS与模糊逻辑的双直接进给轴全行程热误差建模及补偿
发布时间：2018-11-25 09:51
【摘要】：为了提高双直线电动机驱动的同步直接进给轴的运动精度,对该类直接进给轴的全行程热误差在线补偿方法进行了研究。分析了双直接进给轴全行程热误差的影响因素,提出一种基于核偏最小二乘法(Kernel partial least squares,KPLS)和模糊逻辑相结合的双直接进给轴全行程热误差的在线补偿方法。应用激光干涉仪测量其热变形量,使用热电偶和红外测温仪测量进给机构关键点的温度,以时间匹配温度和变形量数据建立统计样本,在均匀离散点位置建立热误差KPLS识别模型,通过在线计算得到离散点热误差补偿量,再根据任意位置与离散点的模糊关联程度,综合计算全行程任意位置处热误差补偿量。以此理论为基础,建立补偿决策函数和补偿系统,依据补偿决策函数智能推断补偿值,通过向数控系统发送补偿码实现在线补偿。在自构建的龙门双直线电动机驱动的直接进给轴平台上,进行全行程热误差在线补偿试验研究,结果表明:混合KPLS与模糊逻辑可以有效的对双直接进给轴全行程热误差在线补偿,经过随机测试验证,补偿后的进给精度提高了50%。
[Abstract]:In order to improve the motion accuracy of synchronous direct feed shaft driven by double linear motor, the on-line compensation method of full stroke thermal error of this kind of direct feed shaft is studied. The factors influencing the full stroke heat error of double direct feed shaft are analyzed, and an online compensation method based on kernel partial least square method (Kernel partial least squares,KPLS) and fuzzy logic is proposed to compensate the full stroke heat error of double direct feed shaft. The laser interferometer is used to measure the thermal deformation, the thermocouple and the infrared thermometer are used to measure the temperature of the key points of the feed mechanism, and the statistical samples are established by time matching temperature and deformation data. The thermal error KPLS identification model is established in the uniform discrete point position, and the thermal error compensation quantity of the discrete point is obtained by on-line calculation. According to the fuzzy correlation degree between the arbitrary position and the discrete point, the thermal error compensation amount at any position of the whole travel is calculated synthetically. On the basis of this theory, the compensation decision function and compensation system are established. According to the compensation decision function, the compensation value is inferred intelligently, and the online compensation is realized by sending the compensation code to the NC system. In this paper, the experimental research on the on-line compensation of the full stroke thermal error is carried out on the direct feed shaft platform driven by the self-constructed double linear motor of the gantry. The results show that the hybrid KPLS and fuzzy logic can effectively compensate the full stroke heat error of the double direct feed shaft on line. After random test, the feed accuracy of the compensation is improved by 50%.
【作者单位】： 上海理工大学机械工程学院;江苏自动化研究所;
【基金】：国家自然科学基金(51005158) 国家科技重大专项(2013ZX04008-011-02)资助项目
【分类号】：TM359.4
，
本文编号：2355671
[Abstract]:In order to improve the motion accuracy of synchronous direct feed shaft driven by double linear motor, the on-line compensation method of full stroke thermal error of this kind of direct feed shaft is studied. The factors influencing the full stroke heat error of double direct feed shaft are analyzed, and an online compensation method based on kernel partial least square method (Kernel partial least squares,KPLS) and fuzzy logic is proposed to compensate the full stroke heat error of double direct feed shaft. The laser interferometer is used to measure the thermal deformation, the thermocouple and the infrared thermometer are used to measure the temperature of the key points of the feed mechanism, and the statistical samples are established by time matching temperature and deformation data. The thermal error KPLS identification model is established in the uniform discrete point position, and the thermal error compensation quantity of the discrete point is obtained by on-line calculation. According to the fuzzy correlation degree between the arbitrary position and the discrete point, the thermal error compensation amount at any position of the whole travel is calculated synthetically. On the basis of this theory, the compensation decision function and compensation system are established. According to the compensation decision function, the compensation value is inferred intelligently, and the online compensation is realized by sending the compensation code to the NC system. In this paper, the experimental research on the on-line compensation of the full stroke thermal error is carried out on the direct feed shaft platform driven by the self-constructed double linear motor of the gantry. The results show that the hybrid KPLS and fuzzy logic can effectively compensate the full stroke heat error of the double direct feed shaft on line. After random test, the feed accuracy of the compensation is improved by 50%.
【作者单位】： 上海理工大学机械工程学院;江苏自动化研究所;
【基金】：国家自然科学基金(51005158) 国家科技重大专项(2013ZX04008-011-02)资助项目
【分类号】：TM359.4
，
本文编号：2355671
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