Rotor dynamic balancing control method based on fuzzy auto-tuning single neuron PID
Author:
Affiliation:
1. School of Computer and Information Science, Hefei University of Technology
2. School of Mechanical Engineering, Hefei University of Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials
Link
https://www.jstage.jst.go.jp/article/elex/14/10/14_14.20170130/_pdf
Reference15 articles.
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2. [2] C. Liu and G. Liu: “Field dynamic balancing for rigid rotor-AMB system in a magnetically suspended flywheel,” IEEE/ASME Trans. Mechatron. 21 (2016) 1140 (DOI: 10.1109/TMECH.2015.2495225).
3. [3] T. Zenget al.: “Tracking with nonlinear measurement model by coordinate rotation transformation,” Sci. China Technol. Sci. 57 (2014) 2396 (DOI: 10.1007/s11431-014-5694-y).
4. [4] Y. A. Khuliefet al.: “Modally tuned influence coefficients for low-speed balancing of flexible rotors,” J. Vib. Acoust. 136 (2013) 024501 (DOI: 10.1115/1.4025995).
5. [5] C. Wei and D. Söffker: “Optimization strategy for PID-controller design of AMB rotor systems,” IEEE Trans. Contr. Syst. Technol. 24 (2016) 788 (DOI: 10.1109/TCST.2015.2476780).
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