Please wait a minute...
ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2010, Vol. 11 Issue (3): 165-174    DOI: 10.1631/jzus.A0900203
Mechanics and Mechanical Engineering     
Nonlinear identification of electro-magnetic force model
R. SHABANI, S. TARIVERDILO, H. SALARIEH
Mechanical Engineering Department, Faculty of Engineering, Urmia University, Urmia, Iran; Civil Engineering Department, Faculty of Engineering, Urmia University, Urmia, Iran; Center of Excellence in Design, Robotics, and Automation (CEDRA), Sharif University of Technology, Tehran, Iran
Download:     PDF (0 KB)     
Export: BibTeX | EndNote (RIS)      

Abstract  Conventional attractive magnetic force models (proportional to the coil current squared and inversely proportional to the gap squared) cannot simulate the nonlinear responses of magnetic bearings in the presence of electromagnetic losses, flux leakage or saturation of iron. In this paper, based on results from an experimental set-up designed to study magnetic force, a novel parametric model is presented in the form of a nonlinear polynomial with unknown coefficients. The parameters of the proposed model are identified using the weighted residual method. Validations of the model identified were performed by comparing the results in time and frequency domains. The results show a good correlation between experiments and numerical simulations.

Key words： Identification      Nonlinear vibration      Magnetic bearing      Weighted residual method     
Received: 12 April 2009     
CLC:  O34  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
R. SHABANI
H. SALARIEH
S. TARIVERDILO
Cite this article:

R. SHABANI, S. TARIVERDILO, H. SALARIEH. Nonlinear identification of electro-magnetic force model. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11(3): 165-174.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A0900203     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2010/V11/I3/165

[1] Feng Yin, Zhi-hao Luo, Yuan Li, Ming-xi Zhou, Hao Zhou. Coal type identification based on the emission spectra of a furnace flame[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2017, 18(2): 113-123.
[2] Liang Ye, Yin-fu Jin, Shui-long Shen, Ping-ping Sun, Cheng Zhou. An efficient parameter identification procedure for soft sensitive clays[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2016, 17(1): 76-88.
[3] Xing-huai Huang, Shirley Dyke, Zhao-dong Xu. An in-time damage identification approach based on the Kalman filter and energy equilibrium theory[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2015, 16(2): 105-116.
[4] Wei Wei, Ang Liu, Stephen C. Y. Lu, Thorsten Wuest. A multi-principle module identification method for product platform design[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2015, 16(1): 1-10.
[5] Bin He, Xin-biao Xiao, Qiang Zhou, Zhi-hui Li, Xue-song Jin. Investigation into external noise of a high-speed train at different speeds[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2014, 15(12): 1019-1033.
[6] . A novel method for fast identification of a machine tool selected point temperature rise based on an adaptive unscented Kalman filter[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2014, 15(10): 761-773.
[7] Tao Tao, Ying-jun Lu, Xiang Fu, Kun-lun Xin. Identification of sources of pollution and contamination in water distribution networks based on pattern recognition[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2012, 13(7): 559-570.
[8] Chang-fu Zong, Pan Song, Dan Hu. Estimation of vehicle states and tire-road friction using parallel extended Kalman filtering[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2011, 12(6): 446-452.
[9] Pablo García Ansola, Andrés García, Javier de las Morenas, Javier García Escribano, Francisco Javier Otamendi. ZigID: Improving visibility in industrial environments by combining WSN and RFID[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2011, 12(11): 849-859.
[10] Abdelhakim Deboucha, Zahari Taha. Identification and control of a small-scale helicopter[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11(12): 978-985.
[11] Izuru TAKEWAKI, Mitsuru NAKAMURA. Temporal variation in modal properties of a base-isolated building during an earthquake[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11(1): 1-8.
[12] Ping WU, Chun-jie YANG, Zhi-huan SONG. Subspace identification for continuous-time errors-in-variables model from sampled data[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(8): 1177-1186.
[13] Ling-fei MO, Hong-jian ZHANG, Hong-liang ZHOU. Analysis of dipole-like ultra high frequency RFID tags close to metallic surfaces[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(8): 1217-1222.
[14] Xu XIE, He ZHANG, Zhi-cheng ZHANG. Nonlinear dynamic response of stay cables under axial harmonic excitation[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(9): 1193-1200.
[15] Hui-yan WANG, Pei-yong ZHANG. A model for automatic identification of human pulse signals[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(10): 1382-1389.