Browse > Article
http://dx.doi.org/10.3795/KSME-A.2016.40.1.097

Predictions of Unbalanced Response of Turbo Compressor Equipped with Active Magnetic Bearings through System Identification  

Baek, Seongiki (Department of Mechatronics Engineering, Chungnam National Univ.)
Noh, Myounggyu (Department of Mechatronics Engineering, Chungnam National Univ.)
Lee, Kiwook (AE R&D Center, LG Electronics)
Park, Young-Woo (Department of Mechatronics Engineering, Chungnam National Univ.)
Lee, Nam Soo (AE R&D Center, LG Electronics)
Jeong, Jinhee (AE R&D Center, LG Electronics)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.40, no.1, 2016 , pp. 97-102 More about this Journal
Abstract
Since vibrations in rotating machinery is a direct cause of performance degradation and failures, it is very important to predict the level of vibrations as well as have a method to lower the vibrations to an acceptable level. However, the changes in balancing during installation and the vibrational modes of the support structure are difficult to predict. This paper presents a method for predicting the unbalanced response of a turbo-compressor supported by active magnetic bearings (AMBs). Transfer functions of the rotor are obtained through system identification using AMBs. These transfer functions contain not only the dynamics of the rotor but also the vibrational modes of the support structure. Using these transfer functions, the unbalanced response is calculated and compared with the run-up data obtained from a compressor prototype. The predictions revealed the effects of the support structure, validating the efficacy of the method.
Keywords
Active Magnetic Bearings; Unbalance Response; Stability;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 ISO Standard 7912, Mechanical Vibration of Non-Reciprocating Machines - Measurements on Rotating Shafts and Evaluation Criteria, 1996.
2 Zhou, S. and Shi, J., 2011, "Active Balancing and vibration Control of Rotating Machinery: a Survey," Shock and Vibration Digest, Vol. 33, No. 5, pp. 361-371.   DOI
3 Schweitzer, G. and Maslen, E. H., eds., 2009, Magnetic Bearings, Springer, New York.
4 Yoo, S. and Noh, M., 2013, "Comparative Study of Performance of Switching Control and Synchronous Notch Filter Control for Active Magnetic Bearings," Trans. Korean Soc. Mech. Eng. A, Vol. 37, No. 4, pp. 511-519.   DOI
5 Tiwari, R. and Chougale. A., 2014, "Identification of Bearing Dynamic Parameters and Unbalance States in a Flexible Rotor System Fully Levitated on Active Magnetic Bearings," Mechatronics, Vol. 24, No. 3, pp. 274-286.   DOI
6 Sinha, J. K., Friswell, M. I. and Lees, A. W., 2002, "The Identification of the Unbalance and the Foundation Model of a Flexible Rotating Machine from a Single Run-Down,", Mechanical Systems and Signal Processing, Vol. 16, No. 2, pp. 255-271.   DOI
7 Simulink Real-Time$^{TM}$, The Mathworks Corporation, Cambridge, USA.
8 Franklin, G., Powell, J. and Workman, M., 1990, Digital Control of Dynamic Systems, 2nd ed., Addison Wesley, Reading, MA, USA.
9 ISO Standard 14839-3, Mechanical Vibration - Vibration of Rotating Machinery Equipped with Active Magnetic Bearing: Part 3 - Evaluation of Stability Margin, 2006.
10 Cloud, C., Li, G., Maslen, E. and Barret, L., 2005, "Practical Applications of Singular Value Decomposition in Rotordynamics," Australian J. Mech. Eng., Vol. 2, pp. 21-32.   DOI