Advanced Adaptive Vibration Controller for Active Magnetic Bearing with Application to Energy Storage Flywheel

Abstract:

This work introduced a kind of advanced adaptive control approach applied in Active magnetic bearing (AMB) to suppress the rotors vibrations in Flywheel Energy Storage System (FESS). The bearings system was built as a five degree-of-freedom (DOF) system and the four radial DOF among these were adopted AMB. Based on the Lyapunov theory, the proposed adaptive control law was designed to compensate various disturbance factors by controlling the AMBs. Finally, the simulation result illustrates that the proposed adaptive control law is effective to reduce the rotors vibration and improve the systems stability.

• Periodical: Advanced Materials Research (Volumes 805-806)
• Pages: 530-536
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.805-806.530
• Online since: September 2013
• Authors: Xiao Qiang Du, Yong Duan Song, Lei Wang, Yan Hui Wang, Bao Liang Zan
• Keywords: Active Magnetic Bearing, Adaptive Control, Flywheel, Vibration Suppression

References

[1] R. Hebner, J. Beno, A. Walls, and M. J. Riezenman, Flywheel batteries come around again, IEEE Spectr., vol. 39, Apr. 2002, p.46–51.

DOI: 10.1109/6.993788

[2] H.C. Liu, J.H. Jiang, Flywheel energy storage: An upswing technology for energy sustainability, Energy and Buildings, 2007, p.599–604.

DOI: 10.1016/j.enbuild.2006.10.001

[3] Zhou S, Shi J. Active balancing and vibration control of rotating machinery: a survey[J]. Shock and Vibration Digest, 2001, 33(5): 361-371.

DOI: 10.1177/058310240103300501

[4] Kang J, Krousgrill C M, Sadeghi F. Comprehensive stability analysis of disc brake vibrations including gyroscopic, negative friction slope and mode-coupling mechanisms[J]. Journal of Sound and Vibration, 2009, 324(1): 387-407.

DOI: 10.1016/j.jsv.2009.01.050

[5] Knospe C R. Active magnetic bearings for machining applications[J]. Control Engineering Practice, 2007, 15(3): 307-313.

DOI: 10.1016/j.conengprac.2005.12.002

[6] Chen S Y, Lin F J. Robust nonsingular terminal sliding-mode control for nonlinear magnetic bearing system[J]. Control Systems Technology, IEEE Transactions on, 2011, 19(3): 636-643.

DOI: 10.1109/tcst.2010.2050484

[7] Lin F J, Chen S Y, Huang M S. Intelligent double integral sliding-mode control for five-degree-of-freedom active magnetic bearing system[J]. IET control theory & applications, 2011, 5(11): 1287-1303.

DOI: 10.1049/iet-cta.2010.0237

[8] Song Y D, Dhinakaran B, Bao X Y. Variable speed control of wind turbines using nonlinear and adaptive algorithms[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2000, 85(3): 293-308.

DOI: 10.1016/s0167-6105(99)00131-2

[9] Fan L L, Song Y D. On fault-tolerant control of dynamic systems with actuator failures and external disturbances [J]. Acta Automatica Sinica, 2010, 36(11): 1620-1625.

DOI: 10.3724/sp.j.1004.2010.01620

[10] Fan L L, Song Y D. Neuro-adaptive model-reference fault-tolerant control with application to wind turbines[J]. Control Theory & Applications, IET, 2012, 6(4): 475-486.

DOI: 10.1049/iet-cta.2011.0250

[11] Murakami K, Komori M, Mitsuda H. Flywheel energy storage system using SMB and PMB[J]. Applied Superconductivity, IEEE Transactions on, 2007, 17(2): 2146-2149.

DOI: 10.1109/tasc.2007.898894

[12] Schweitzer G, Maslen E H. Magnetic bearings: theory, design, and application to rotating machinery[M]. Springer, (2009).

DOI: 10.1007/978-3-642-00497-1

[13] Slotine J J E, Li W. Applied nonlinear control[M]. New Jersey: Prentice hall, (1991).