16 Modeling and Parameter Identification for Active Lubricated …
207
Acknowledgements This research is supported by the National Natural Science Foundation of China (No. 51975337) and Natural Science Foundation of Shandong Province of China
(No. ZR2019MEE064).
References
1. Andres, L.S., Lubell, D.: Imbalance response of a test rotor supported on squeeze film dampers.
J. Eng. Gas Turbines Power 120(2), 397–404 (1998)
2. Pietra, L.D., Adiletta, G.: The squeeze film damper over four decades of investigations. part i:
characteristics and operating features. Shock and Vibration Digest 34, 3–27 (2002)
3. Santos, I.F.: Trends in controllable oil film bearings. In: Gupta, K. (eds) IUTAM symposium on
emerging trends in rotor dynamics. IUTAM Bookseries, vol. 1011. Springer, Dordrecht (2011)
4. Mizumoto, H., Arii, S., Kami, Y., Goto, K., Yamamoto, T., Kawamoto, M.: Active inherent
restrictor for air bearing spindles. Precision Eng. 19(2–3), 141–147 (1996)
5. Mizumoto, H., Arii, S., Yabuta, Y., Tazoe, Y.: Vibration control of a high-speed air bearing
spindle using an active aerodynamic bearing. In: Proceedings of 2010 international conference
on control, automation and systems (ICCAS 2010), pp. 2261–2264. IEEE. Gyeonggi-do, South
Korea (2010)
6. Morosi, S., Santos, I.F.: Active lubrication applied to radial gas journal bearings. Part 1:
Modeling. Tribol. Int. 44(12), 1949–1958 (2011)
7. Liu, Z.C., Pan, W., Lu, C.H., Zhang, Y.T.: Numerical analysis on the static performance of a
new piezoelectric membrane restrictor. Ind. Lubric. Tribol. 68, 521–529 (2016)
8. Li, H.C.: Reasearch on the Performance and Application of the New Single-Sided Membrane
Restrictor. Shandong University (2017)
9. Nicoletti, R., Santos, I.F.: Linear and non-linear control techniques applied to actively lubricated
journal bearings. J. Sound Vib. 260(5), 927–947 (2003)
10. Theisen, L.R.S., Niemann, H.H., Santos, I.F., Galeazzi, R., Blanke, M.: Modelling and
identification for control of gas bearings. Mech. Syst. Signal Process. 70–71, 1150–1170 (2016)
11. Matta, P., Arghir, M.: Identification method for rotordynamic coefficients of cylindrical air
bearing using an impact hammer. Proc. Inst. Mech. Eng., Part J: J. Eng. Tribol. 226(30),
199–212 (2012)
12. Chuang, J.C., Chen, C.Y., Tu, J.Y.: Active control of multi-input hydraulic journal bearing
system. J. Phys: Conf. Ser. 744, 012062 (2016)
13. Balini, H.M.N.K., Houtzager, I., Witte, J., Scherer, C.W.: Subspace identification and robust
control of an AMB system. In: Proceedings of the 2010 American Control Conference,
pp. 2200–2205. IEEE, Baltimore (2010)
14. Sun, Z., He, Y., Zhao, J.J., Shi, Z.G., Zhao, L., Yu, S.Y.: Identification of active magnetic
bearing system with a flexible rotor. Mech. Syst. Signal Process. 49(1–2), 302–316 (2014)
15. Wang, W.M., Li, Q.H., Gao, J.J., Yao, J.F., Allaire, P.: An identification method for damping
ratio in rotor systems. Mech. Syst. Signal Process. 68–69, 536–554 (2016)
16. Ljung, L.: System Identification: Theory for the User, 2nd edn. Prentice Hall PTR, Upper
Saddle River (1999)
17. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN’95 - International Conference on Neural Networks, pp. 1942–1948 vol. 4. IEEE, Perth, WA, Australia
(1995)
207
Acknowledgements This research is supported by the National Natural Science Foundation of China (No. 51975337) and Natural Science Foundation of Shandong Province of China
(No. ZR2019MEE064).
References
1. Andres, L.S., Lubell, D.: Imbalance response of a test rotor supported on squeeze film dampers.
J. Eng. Gas Turbines Power 120(2), 397–404 (1998)
2. Pietra, L.D., Adiletta, G.: The squeeze film damper over four decades of investigations. part i:
characteristics and operating features. Shock and Vibration Digest 34, 3–27 (2002)
3. Santos, I.F.: Trends in controllable oil film bearings. In: Gupta, K. (eds) IUTAM symposium on
emerging trends in rotor dynamics. IUTAM Bookseries, vol. 1011. Springer, Dordrecht (2011)
4. Mizumoto, H., Arii, S., Kami, Y., Goto, K., Yamamoto, T., Kawamoto, M.: Active inherent
restrictor for air bearing spindles. Precision Eng. 19(2–3), 141–147 (1996)
5. Mizumoto, H., Arii, S., Yabuta, Y., Tazoe, Y.: Vibration control of a high-speed air bearing
spindle using an active aerodynamic bearing. In: Proceedings of 2010 international conference
on control, automation and systems (ICCAS 2010), pp. 2261–2264. IEEE. Gyeonggi-do, South
Korea (2010)
6. Morosi, S., Santos, I.F.: Active lubrication applied to radial gas journal bearings. Part 1:
Modeling. Tribol. Int. 44(12), 1949–1958 (2011)
7. Liu, Z.C., Pan, W., Lu, C.H., Zhang, Y.T.: Numerical analysis on the static performance of a
new piezoelectric membrane restrictor. Ind. Lubric. Tribol. 68, 521–529 (2016)
8. Li, H.C.: Reasearch on the Performance and Application of the New Single-Sided Membrane
Restrictor. Shandong University (2017)
9. Nicoletti, R., Santos, I.F.: Linear and non-linear control techniques applied to actively lubricated
journal bearings. J. Sound Vib. 260(5), 927–947 (2003)
10. Theisen, L.R.S., Niemann, H.H., Santos, I.F., Galeazzi, R., Blanke, M.: Modelling and
identification for control of gas bearings. Mech. Syst. Signal Process. 70–71, 1150–1170 (2016)
11. Matta, P., Arghir, M.: Identification method for rotordynamic coefficients of cylindrical air
bearing using an impact hammer. Proc. Inst. Mech. Eng., Part J: J. Eng. Tribol. 226(30),
199–212 (2012)
12. Chuang, J.C., Chen, C.Y., Tu, J.Y.: Active control of multi-input hydraulic journal bearing
system. J. Phys: Conf. Ser. 744, 012062 (2016)
13. Balini, H.M.N.K., Houtzager, I., Witte, J., Scherer, C.W.: Subspace identification and robust
control of an AMB system. In: Proceedings of the 2010 American Control Conference,
pp. 2200–2205. IEEE, Baltimore (2010)
14. Sun, Z., He, Y., Zhao, J.J., Shi, Z.G., Zhao, L., Yu, S.Y.: Identification of active magnetic
bearing system with a flexible rotor. Mech. Syst. Signal Process. 49(1–2), 302–316 (2014)
15. Wang, W.M., Li, Q.H., Gao, J.J., Yao, J.F., Allaire, P.: An identification method for damping
ratio in rotor systems. Mech. Syst. Signal Process. 68–69, 536–554 (2016)
16. Ljung, L.: System Identification: Theory for the User, 2nd edn. Prentice Hall PTR, Upper
Saddle River (1999)
17. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN’95 - International Conference on Neural Networks, pp. 1942–1948 vol. 4. IEEE, Perth, WA, Australia
(1995)