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Modeling of active magnetic bearing in rotating payload satellite considering shaft motion coupling

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Abstract

This paper establishes the refined dynamic model of the five degree-of-freedom active magnetic bearing used in the earth-oriented satellite system with an unbalanced rotating payload based on the more refined air gap change model for stator motion. The disturbance effects of the thrust active magnetic bearing and the coupling effects of shaft motion are analyzed by the equivalent stiffness and damping model, especially when the satellite system is in the fine pointing phase. Numerical simulation results are provided to verify the accuracy of the proposed simplified stiffness and damping model, the disturbance term effects on active magnetic bearing, and the significance of the refined magnetic bearing dynamic model for improving the payload working ability in the fine pointing phase.

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Abbreviations

o :

Inertial coordinate system

b :

Platform’s body coordinate system whose origin is the centroid of the satellite platform. The z- and x-axes point to the forward and normal directions of the orbit, respectively, and the y-axis constitute the right hand coordinate system with z- and x-axes.

p :

Payload’s body coordinate system whose origin is the center of the rotating payload. The orientation of the co-ordinate axis is the same as that of b.

wi :

Body coordinate system of momentum wheel i (i = x, y, z, t) whose origin is their respective centroid. The orientation of the coordinate axis is the same as that of b.

ak :

Body coordinate system of solar panel k whose origin is located at the connection position between solar panel k and the satellite platform. The orientation of the coordinate axis is the same as that of b.

r 1 :

Vector from the origin of the inertial coordinate system to the origin of platform’s body coordinate system

r 2 :

Vector from the origin of the inertial coordinate system to the origin of payload’s body coordinate system

r 3 :

Vector from the origin of the inertial coordinate system to the actual center of the AMB

r 4 :

Vector from the origin of the inertial coordinate system to the expected center of the AMB

r 5 :

Vector from the expected center of the AMB to the actual center of the AMB

r 6 :

Vector from the actual center of the AMB to the left RAMB action point

r 7 :

Vector from the expected center of the AMB to the left RAMB action point

r 8 :

Vector from the actual center of the AMB to the right RAMB action point

r 9 :

Vector from the expected center of the AMB to the right RAMB action point

r 10 :

Vector from the expected center of the AMB to the equilibrium point of the TAMB at radius r and angle φ

r 11 :

Vector from the actual center of the AMB to the equilibrium point of the TAMB at radius r and angle φ

r 12 :

Vector from the equilibrium point to the action point of the TAMB at radius r and angle φ

r 13 :

Vector from the actual center of the AMB to the TAMB action point at radius r and angle φ

X :

Vector projection under the inertial coordinate system, which is from the origin of the inertial coordinate system to the platform subsystem’s centroid

X p :

Vector projection under the inertial coordinate system, which is from the origin of the inertial coordinate system to the payload subsystem’s centroid

r jb :

Vector projection under the platform’s body coordinate system, which is from the platform subsystem’s centroid to the satellite platform’s centroid

r mp :

Vector projection under the payload’s body coordinate system, which is from the payload subsystem’s centroid to the rotating payload’s centroid

1 1 :

Vector projection under the platform’s body coordinate system, which is from the satellite platform’s centroid to the expected center of AMB

l 2 :

Vector projection under the payload’s body coordinate system, which is from the actual center of the AMB to the origin of the payload’s body coordinate system

r dp :

Vector projection under the payload’s body coordinate system, which is from the origin of the payload’s body coordinate system to the rotating payload’s centroid

A :

Attitude transformation matrix of coordinate system b relative to inertial coordinate system o

A p :

Attitude transformation matrix of coordinate system p relative to inertial coordinate system o

A p b :

Attitude transformation matrix of coordinate system p relative to coordinate system b

L 1x :

Disturbance on kax, \({L_{1x}} = - (4\pi k_{zz}^{\;\;\;\prime } - 2{k_{iz}}{k_{p2}}){\delta _y}{\delta _z}/\varphi \)

L 1y :

Disturbance on kay, \({L_{1y}} = ( - 2{k_{iz}}{k_{p2}} + 4\pi k_{zz}^{\;\;\;\prime }){\delta _x}{\delta _z}/\theta \)

L 2x :

Disturbance on cax, \({L_{2x}} = 2{k_{d2}}{k_{iz}}{\delta _y}{{\dot \delta }_z}/\dot \varphi \)

L 2y :

Disturbance on cay, \({L_{2y}} = - 2{k_{d2}}{k_{iz}}{\delta _x}{{\dot \delta }_z}/\dot \theta \)

L 3x :

Disturbance on kax, \({L_{3x}} = \pi k_{zz}^{\;\;\;\prime }{({R_3} + {R_6})^2}\tan \varphi /(2\varphi )\)

L 3y :

Disturbance on kay, \({L_{3y}} = \pi k_{zz}^{\;\;\;\prime }{({R_3} + {R_6})^2}\tan \theta /(2\theta \cos \varphi )\)

L 4 :

Disturbance on kz, \({L_4} = - 4\pi k_{zz}^{\;\;\;\prime }({\delta _y}\tan \varphi /{\delta _z} - {\delta _x}\tan \theta /({\theta _z}\cos \varphi ))\)

L 5x :

Disturbance on kax, L5x = L1xδzδy S L4/ϕ

L 5y :

Disturbance on kay, L5y= L1yzδxL4/θ

L 6x :

Disturbance on kax, L6x = L5x + L3x

L 6y :

Disturbance on kay, L6y = L5y + L3y

References

  1. R. B. Malla, H. R. Adib-Jahromi and M. L. Accorsi, Passive vibration suppression in truss-type structures with tubular members, J. Spacecr. Rockets, 37(1) (2000) 86–92.

    Article  Google Scholar 

  2. A. T. A. Peijnenburg, J. P. M. Vermeulen and J. van Eijk, Magnetic levitation systems compared to conventional bearing systems, Microelectron. Eng., 83(4) (2006) 1372–1375.

    Article  Google Scholar 

  3. I. Valiente-Blanco et al., Characterization and improvement of axial and radial stiffness of contactless thrust superconducting magnetic bearings, Tribol. Lett., 54(3) (2014) 213–220.

    Article  Google Scholar 

  4. C. Yu et al., Influence of conical degree on the performance of radial and axial integrated auxiliary bearing for active magnetic bearing system, J. Mech. Sci. Technol., 33(10) (2019) 4681–4687.

    Article  Google Scholar 

  5. H. Gao, L. Xu and Y. Zhu, Unbalance vibratory displacement compensation for active magnetic bearings, Chin. J. Mech. Eng., 26(1) (2013) 95–103.

    Article  Google Scholar 

  6. I. S. Kuseyri, Robust control and unbalance compensation of rotor/active magnetic bearing systems, J. Vib. Control, 18(6) (2012) 817–832.

    Article  MathSciNet  Google Scholar 

  7. Y. N. Wang and T. M. Hai, Disturbance and uncertainty estimator-based cascaded position-current controller for active magnetic bearing system, Adv. Mech. Eng., 11 (3) (2019).

  8. Z. Zhixian et al., Analysis of vibration characteristics of PD control active magnetic bearing and cracked rotor system, Int. J. Eng., 32(4) (2019) 596–601.

    Google Scholar 

  9. M. S. Kang, J. Lyou and J. K. Lee, Sliding mode control for an active magnetic bearing system subject to base motion, Mechatronics, 20(1) (2010) 171–178.

    Article  Google Scholar 

  10. F. J. Lin, S. Y. Chen and M. S. Huang, Intelligent double integral sliding-mode control for five-degree-of-freedom active magnetic bearing system, IET Control Theory Appl., 5(11) (2011) 1287–1303.

    Article  MathSciNet  Google Scholar 

  11. S. Y. Chen and F. J. Lin, Decentralized PID neural network control for five degree-of-freedom active magnetic bearing, Eng. Appl. Artif. Intell., 26(3) (2013) 962–973.

    Article  Google Scholar 

  12. X. Yao and Z. Chen, Sliding mode control with deep learning method for rotor trajectory control of active magnetic bearing system, Trans. Inst. Meas. Control, 41(5) (2019) 1383–1394.

    Article  Google Scholar 

  13. A. Abooee and M. M. Arefi, Robust finite-time stabilizers for five-degree-of-freedom active magnetic bearing system, J. Frankl. Inst., 356(1) (2019) 80–102.

    Article  MathSciNet  Google Scholar 

  14. J. S. H. Tsai et al., Robust observer-based optimal linear quadratic tracker for five-degree-of-freedom sampled-data active magnetic bearing system, Int. J. Syst. Sci., 49(6) (2018) 1273–1299.

    Article  MathSciNet  Google Scholar 

  15. T. Du et al., Dynamic analysis on rotor system supported by active magnetic bearings based on sliding mode control, 2018 IEEE Int. Conf. Mechatron. Autom., Changchun, China (2018) 1960–1965.

  16. Y. Xu, J. Zhou and C. Jin, Identification of dynamic stiffness and damping in active magnetic bearings using transfer functions of electrical control system, J. Mech. Sci. Technol., 33(2) (2019) 571–577.

    Article  Google Scholar 

  17. G. Zhang, L. Yu and Y. Xie, Mechanical characteristics of thrust magnetic bearing and its effect on radial magnetic bearings in the system, Chin. J. Mech. Eng., 36(12) (2000) 314–318.

    Article  Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 11772102).

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Correspondence to Cheng Wei.

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Cheng Wei is a Professor of School of Astronautics, Harbin Institute of Technology, Harbin, China. He received his Ph.D. in Aeronautical and Astronautical Science and Technology from Harbin Institute of Technology. His research interest covers dynamics, control and system simulation technology of space flexible multibody system.

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Zhao, Y., Chen, X., Wang, F. et al. Modeling of active magnetic bearing in rotating payload satellite considering shaft motion coupling. J Mech Sci Technol 34, 4423–4437 (2020). https://doi.org/10.1007/s12206-020-1005-7

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  • DOI: https://doi.org/10.1007/s12206-020-1005-7

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