Calibration of a 5-axis hybrid machine based on a 3P(4R)S spindle head
HU Congjun, YU Guang, WANG Liping
1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China; 2. Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment and Control, Beijing 100084, China
摘要旋转刀轴中心控制（rotational tool center point，RTCP）精度是评价五轴混联机床的重要考核指标。该文以一台基于3P（4R）S主轴头的五轴混联机床为研究对象，对该机床终端的位置和角度精度进行标定，以提高混联机床的RTCP精度；提出了一种参数辨识算法，与最小二乘法、岭估计法相比，该算法缩短了辨识运算的时间。标定实验结果表明：该算法辨识得到的参数能有效提高机床的精度，验证了该算法的有效性，为五轴混联机床的铣削加工奠定了基础。
Abstract：The rotational tool center point(RTCP) accuracy is an important evaluation index for evaluating five-axis hybrid machine tools. This study analyzed a 5-axis hybrid machine based on 3P(4R)S spindle head and calibrated the positioning and angular precision of the machine tool terminal to improve the RTCP precision of the hybrid machine tool. This paper presents an identification algorithm, which shortens the identification time compared with the least squares method and the ridge estimation method. Calibration tests show that the parameters identified by the algorithm can effectively improve the machine tool accuracy, which verifies the algorithm effectiveness and lays a foundation for milling using a 5-axis hybrid machine tool.
胡从军, 于广, 王立平. 基于3P(4R)S主轴头的五轴混联机床的参数辨识算法[J]. 清华大学学报（自然科学版）, 2019, 59(12): 1029-1038.
HU Congjun, YU Guang, WANG Liping. Calibration of a 5-axis hybrid machine based on a 3P(4R)S spindle head. Journal of Tsinghua University(Science and Technology), 2019, 59(12): 1029-1038.
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2019, Vol. 59 
