DocumentCode
1561308
Title
Modeling and Identification for High-Speed Milling Machines
Author
Yang, Jiangzhao ; Zhang, Dongjun ; Li, Zexiang
Author_Institution
Harbin Inst. of Technol., Shenzhen
fYear
2007
Firstpage
346
Lastpage
351
Abstract
Accurate modeling and identification to the dynamics of the feed drive system is significant in designing a high performance milling machine. In this paper, mathematical model of the feed drive system, including electromagnetic and mechanical aspects, is concluded. To be consistent with the controller design techniques, two different grey-box identification methods are discussed to estimate the model of a practical milling machine. It turns out that the sampled-data control system with a slower sample rate fits the system better than the faster one. Moreover, compared with the model estimated by partial continuous approach, the total discrete-time model achieves better results in the model validation.
Keywords
control system synthesis; discrete time systems; identification; milling machines; sampled data systems; accurate modeling; controller design; discrete-time model; electromagnetic aspects; feed drive system; grey-box identification method; high-speed milling machines; mathematical model; mechanical aspects; model validation; sampled-data control system; Control systems; Feeds; Friction; Machining; Mathematical model; Metalworking machines; Power system modeling; Robust control; Servomechanisms; Servomotors; Feed Drive Modeling; Grey-Box Identification; High-Speed Machining;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
Conference_Location
Scottsdale, AZ
Print_ISBN
978-1-4244-1154-2
Electronic_ISBN
978-1-4244-1154-2
Type
conf
DOI
10.1109/COASE.2007.4341841
Filename
4341841
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