Thermal Error Modeling of the CNC Machine Tool Based on Data Fusion Method of Kalman Filter
Joint Authors
Li, Tiemin
Wang, Haitong
Cai, Yonglin
Wang, Heng
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper presents a modeling methodology for the thermal error of machine tool.
The temperatures predicted by modified lumped-mass method and the temperatures measured by sensors are fused by the data fusion method of Kalman filter.
The fused temperatures, instead of the measured temperatures used in traditional methods, are applied to predict the thermal error.
The genetic algorithm is implemented to optimize the parameters in modified lumped-mass method and the covariances in Kalman filter.
The simulations indicate that the proposed method performs much better compared with the traditional method of MRA, in terms of prediction accuracy and robustness under a variety of operating conditions.
A compensation system is developed based on the controlling system of Siemens 840D.
Validated by the compensation experiment, the thermal error after compensation has been reduced dramatically.
American Psychological Association (APA)
Wang, Haitong& Li, Tiemin& Cai, Yonglin& Wang, Heng. 2017. Thermal Error Modeling of the CNC Machine Tool Based on Data Fusion Method of Kalman Filter. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190284
Modern Language Association (MLA)
Wang, Haitong…[et al.]. Thermal Error Modeling of the CNC Machine Tool Based on Data Fusion Method of Kalman Filter. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1190284
American Medical Association (AMA)
Wang, Haitong& Li, Tiemin& Cai, Yonglin& Wang, Heng. Thermal Error Modeling of the CNC Machine Tool Based on Data Fusion Method of Kalman Filter. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190284
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190284