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Modeling and Control of an AMBs Supported Milling Spindle

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Intelligent Robotics and Applications (ICIRA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9245))

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Abstract

In machining applications, active magnetic bearings (AMBs) have great potential to improve efficiency, reduce costs, and enhance product quality, due to its high force capacity, high speed capability, and ability to monitor states and employ active controls. This paper describes structure, rotor dynamic modeling and control of a milling spindle with AMBs. The rotor dynamic model is created using FEM according to the Timoshenko beam theory. Before applying the spindle to suppress milling chatter, we develop an \(\mu \)-synthesis design framework to stabilize the unload system considering the uncertainty in spindle speed. Balance truncation procedure is implemented for the controller order reduction. Finally, a 15th order controller which ensures performance requirements and robust stability, is obtained. The spindle with the controller has speed range of 0–40000 rpm.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Tao Huang, Xiaoming Zhang & Han Ding

  2. School of Automation, Key Laboratory of Image Processing and Intelligent Control, State Key Laboratory of Digital Manufacturing Equipments and Technology, Huazhong University of Science and Technology, Wuhan, 430074, People’s Republic of China

    Yue Wu

Authors
  1. Tao Huang
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  2. Yue Wu
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  3. Xiaoming Zhang
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  4. Han Ding
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Corresponding author

Correspondence to Xiaoming Zhang .

Editor information

Editors and Affiliations

  1. University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  2. Tokyo Metropolitan University, Tokyo, Japan

    Naoyuki Kubota

  3. Shanghai Jiao Tong University, Shanghai, China

    Xiangyang Zhu

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Rüdiger Dillmann

  5. University of Portsmouth, Portsmouth, United Kingdom

    Dalin Zhou

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© 2015 Springer International Publishing Switzerland

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Huang, T., Wu, Y., Zhang, X., Ding, H. (2015). Modeling and Control of an AMBs Supported Milling Spindle. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2015. Lecture Notes in Computer Science(), vol 9245. Springer, Cham. https://doi.org/10.1007/978-3-319-22876-1_56

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  • DOI: https://doi.org/10.1007/978-3-319-22876-1_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22875-4

  • Online ISBN: 978-3-319-22876-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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