首页|Kinematic calibration method with high measurement efficiency and robust identification for hybrid machine tools

Kinematic calibration method with high measurement efficiency and robust identification for hybrid machine tools

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Geometric error is the main factor affecting the machining accuracy of hybrid machine tools.Kinematic calibration is an effective way to improve the geometric accuracy of hybrid machine tools.The necessity to measure both position and orientation at each pose,as well as the instability of identification in case of incomplete measurements,severely affects the application of traditional calibration methods.In this study,a kinematic calibration method with high measure-ment efficiency and robust identification is proposed to improve the kinematic accuracy of a five-axis hybrid machine tool.First,the configuration is introduced,and an error model is derived.Further,by investigating the mechanism error characteristics,a measurement scheme that only requires tool centre point position error measurement and one alignment operation is proposed.Subsequently,by analysing the effects of unmeasured degrees of freedom(DOFs)on other DOFs,an improved nonlinear least squares method based on virtual measurement values is proposed to achieve stable parameter identification in case of incomplete measurement,without introducing additional parameters.Finally,the proposed calibration method is verified through simulations and experiments.The proposed method can efficiently accomplish the kinematic calibration of the hybrid machine tool.The accuracy of the hybrid machine tool is significantly improved after calibration,satisfying actual aerospace machining requirements.

Hybrid machine toolCalibrationMeasurement schemeImproved nonlinear least squares methodVirtual measurement values

Liping WANG、Mengyu LI、Guang YU、Weitao LI、Xiangyu KONG

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State Key Laboratory of Tribology,Department of Mechanical Engineering,Tsinghua University,Beijing 100084,China

Beijing Key Laboratory of Precision/Ultra-precision Manufacturing Equipment and Control,Beijing 100084,China

国家自然科学基金国家自然科学基金

5227544251975319

2024

中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子:0.847
ISSN:1000-9361
年,卷(期):2024.37(3)
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