Abstract
Active magnetic bearings (AMBs) offer contact-less functioning and active vibration control capability while supporting and levitating a rotor. This is the reason that the AMBs are being progressively researched for novel and challenging applications in the industry. In application areas, such as ships, airplanes and space crafts, the rotor is mounted on a moving base, which causes parametric excitation to the system. This, in turn, is generally known to cause stability issues in a rotor shaft system. The present work thus attempts to conduct stability analysis of a rotor shaft system supported by an AMB and is parametrically excited due to the presence of periodically varying base motion. The finite element model for a generic rotor shaft system mounted on a moving base is first presented, and the time-periodic state matrix for the system is found. The Floquet–Liapunov method of analyzing stability of a periodically varying system is used to find the stability boundaries for the system with two widely used control laws for the AMB. The analysis reveals that it is important to consider the parametric excitation caused to the system when the AMBs are being designed for applications involving large base motions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Schweitzer G et al (2009) Magnetic bearings: theory, design and application to rotating machinery. Springer, Berlin
Siva Srinivas R, Tiwari R, Kannababu C (2018) Application of active magnetic bearings in flexible rotordynamic systems—a state-of-the-art review. Mechan Syst Signal Process 106:537–572
Duchemin M, Berlioz A, Ferraris G (2006) Dynamic behaviour and stability of a rotor under base excitation. ASME J Vibr Acoust 128(5):576–585
Sinha SC, Marghitu DB, Boghiu D (1998) Stability and control of a parametrically excited rotating beam. J Dyn Sys Meas Control 120(4):462–470
Kirk RG, Gunter EJ (1974) Transient response of rotor-bearing systems. J Eng Ind 96(2):682–690
Vance JM, Zeidan FY, Murphy B (2010) Machinery vibration and rotordynamics. Wiley, Hoboken
Genta G (2007) Dynamics of rotating systems. Springer Science and Business Media, Berlin
Lalanne M, Ferraris G (1998) Rotordynamics prediction in engineering. Wiley, Hoboken
Muszynska A (2005) Rotordynamics. CRC Press, Boca Raton
Rao JS (1996) Rotor dynamics. New Age International
Kamel M, Bauomy HS (2009) Nonlinear oscillation of a rotor-AMB system with time varying stiffness and multi-external excitations. J Vib Acoust 131(3):031009
Bauomy HS (2012) Stability analysis of a rotor-AMB system with time varying stiffness. J Franklin Inst 349(5):1871–1890
Driot N, Lamarque CH, Berlioz A (2006) Theoretical and experimental analysis of a base excited rotor. ASME J Comput Nonlinear Dyn 1(3):257–263
Han Q, Chu F (2015) Parametric instability of flexible rotor-bearing system under time-periodic base angular motions. Appl Math Model 39(15):4511–4522
Hou L, Chen Y, Fu Y, Li Z (2016) Nonlinear response and bifurcation analysis of a Duffing type rotor model under sine maneuver load. Int J Non-Linear Mech 78:133–141
Soni T, Dutt JK, Das AS (2019) Parametric stability analysis of active magnetic bearing-supported rotor system with a novel control law subject to periodic base motion. IEEE Transactions on Industrial Electronics, p 1
Friedmann P, Hammond CE, Woo T-H, Efficient numerical treatment of periodic systems with application to stability problems. Int J Numer Method Eng 11:1117–1136
Das AS, Dutt JK, Ray K (2010) Active vibration control of flexible rotors on maneuvering vehicles. Am Insti Aeronaut Astronaut (AIAA) 48(2):340–353
Friswell MI, Penny JET, Garvey SD, Lees AW (2010) Dynamics of rotating machines. Cambridge University Press, Cambridge
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
Details of the matrices used for finding the global matrices given in Eqs. (1)–(3).
Shaft Inertia matrix: \(\left[ M \right]_{S}^{e} = \mathop \smallint \limits_{0}^{l} m\left[ {\psi \left( x \right)} \right]^{T} \left[ {\psi \left( x \right)} \right] {\text{d}}x + \mathop \smallint \limits_{0}^{l} i_{d} \left[ {\psi^{\prime}\left( x \right)} \right]^{T} \left[ {\psi^{\prime}\left( x \right)} \right] {\text{d}}x\)where \(\left[ \psi \right]\) is the shape function matrix, gyroscopic matrix: \(\left[ G \right]_{S}^{e} = \mathop \smallint \limits_{0}^{l} i_{p} \left[ {\psi^{\prime}} \right]^{T} \left[ {\begin{array}{*{20}c} 0 & { - 1} \\ 1 & 0 \\ \end{array} } \right]\left[ {\psi^{\prime}} \right]{\text{d}}x\); \(\left[ H \right]_{S}^{e} = \mathop \smallint \limits_{0}^{l} i_{p} \left[ {\psi^{\prime}} \right]^{T} \left[ {\begin{array}{*{20}c} 0 & 0 \\ 1 & 0 \\ \end{array} } \right]\left[ {\psi^{\prime}} \right]{\text{d}}x\) bending stiffness matrix: \(\left[ {K_{B} } \right]_{S}^{e} = \mathop \smallint \limits_{0}^{l} EI\left[ {\psi^{\prime\prime}} \right]^{T} \left[ {\psi^{\prime\prime}} \right]{\text{d}}x\); \(\left[ {\psi^{\prime\prime}} \right] = \frac{{d^{2} \left[ {\psi \left( x \right)} \right]}}{{{\text{d}}x^{2} }}\).
Circulatory matrix: \(\left[ {K_{C} } \right]_{S}^{e} = \mathop \smallint \limits_{0}^{l} EI\left[ {\psi^{\prime\prime}} \right]^{T} \left[ {\begin{array}{*{20}c} 0 & { - 1} \\ 1 & 0 \\ \end{array} } \right]\left[ {\psi^{\prime\prime}} \right]{\text{d}}x\)
Coriolis matrix: \(\left[ C \right]_{S}^{e} = \mathop \smallint \limits_{0}^{l} m\left[ {\psi \left( x \right)} \right]^{T} \left[ {\begin{array}{*{20}c} 0 & { - 1} \\ 1 & 0 \\ \end{array} } \right]\left[ {\psi \left( x \right)} \right]{\text{d}}x + \mathop \smallint \limits_{0}^{l} i_{d} \left[ {\psi^{\prime}\left( x \right)} \right]^{T} \left[ {\begin{array}{*{20}c} 0 & { - 1} \\ 1 & 0 \\ \end{array} } \right]\left[ {\psi^{\prime}\left( x \right)} \right]{\text{d}}x\)
Parametric stiffness matrix due to base motion:
Rotor disk finite element matrices
Inertia matrix: \(\left[ M \right]_{D} = \left[ {\begin{array}{*{20}c} {m_{D} } & 0 & 0 & 0 \\ 0 & {m_{D} } & 0 & 0 \\ 0 & 0 & {I_{d} } & 0 \\ 0 & 0 & 0 & {I_{d} } \\ \end{array} } \right]\);
Gyroscopic matrix: \(\left[ G \right]_{D} = \left[ {\begin{array}{*{20}c} 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & { - I_{p} } \\ 0 & 0 & {I_{p} } & 0 \\ \end{array} } \right]\);
Coriolis effect matrix: \(\left[ C \right]_{D} = \left[ {\begin{array}{*{20}c} 0 & { - m_{D} } & 0 & 0 \\ {m_{D} } & 0 & 0 & 0 \\ 0 & 0 & 0 & { - I_{d} } \\ 0 & 0 & {I_{d} } & 0 \\ \end{array} } \right]\); Parametric stiffness matrix: \(\left[ {K_{p11} } \right]_{D} = \left[ {\begin{array}{*{20}c} {m_{D} } & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & {I_{p} } & 0 \\ 0 & 0 & 0 & 0 \\ \end{array} } \right];\left[ {K_{p22} } \right]_{D} = \left[ {\begin{array}{*{20}c} 0 & 0 & 0 & 0 \\ 0 & {m_{D} } & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & {I_{p} } \\ \end{array} } \right]\); \(\left[ {K_{p12} } \right]_{D} = \left[ {\begin{array}{*{20}c} 0 & {m_{D} } & 0 & 0 \\ {m_{D} } & 0 & 0 & 0 \\ 0 & 0 & 0 & {I_{p} - I_{d} } \\ 0 & 0 & {I_{p} - I_{d} } & 0 \\ \end{array} } \right]\)
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Soni, T., Dutt, J.K., Das, A.S. (2021). Stability of Parametrically Excited Active Magnetic Bearing Rotor System Due to Moving Base. In: Rao, J.S., Arun Kumar, V., Jana, S. (eds) Proceedings of the 6th National Symposium on Rotor Dynamics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-5701-9_24
Download citation
DOI: https://doi.org/10.1007/978-981-15-5701-9_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5700-2
Online ISBN: 978-981-15-5701-9
eBook Packages: EngineeringEngineering (R0)