Skip to main content
SpringerLink
Log in

The Study on Reconfigurability Condition of Spacecraft Control System

  • Original Paper
  • Published:
Advances in Astronautics Science and Technology Aims and scope Submit manuscript

Abstract

Reconfigurability refers to the ability of the system to overcome all faults or restore some of its performance by changing the structure or control algorithm under the condition of resource constraints and operating conditions within a certain period of time to ensure the security when the control system fails. The establishment of reconfigurability evaluation and design theoretical system is of great significance for improving the operational reliability and service life of the whole spacecraft. Research projects are being conducted worldwide regarding reconfiguration control technology. We summarize the performance factors that affect system reconfigurability based on several typical reconfiguration methods by analyzing the constraints that the system can satisfy through fault-tolerant approaches. Since the reconfigurability evaluation index reveals the limitations and potentials of reconfigurable ability of the system, we refine the quantitative reconfigurability evaluation method based on various influencing factors. We anticipate that this work will play a guiding role in the reconfiguration strategy and design of spacecraft in-orbit to achieve the fault forward.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. AIAA (1991) Flight demonstration of the self-repairing flight control system in a NASA F-15 aircraft. In: Aircraft design and operations meeting, pp 809–812

  2. Ochi Y (1993) Application of feedback linearization method in a digital restructurable flight control system. In: Navigation and control conference, pp 111–117

  3. Zhang Y, Jiang J (2001) Integrated design of reconfigurability fault-tolerant control systems. J Guid Control Dyn 24(1):133–136

    Article  ADS  Google Scholar 

  4. AIAA (1990) Flight-testing of the self-repairing flight control system using the F-15 highly integrated digital electronic control flight research facility. In: Orbital debris conference: technical issues and future directions (AIAA)

  5. 王大轶,屠园园,刘成瑞,等.航天器控制系统可重构性的内涵与研究综述[J].自动化学报, 2017, 43(10)

  6. Zhang Y, Jiang J (2008) Bibliographical review on reconfigurability fault-tolerant control systems. Annu Rev Control 32(2):229–252

    Article  Google Scholar 

  7. Casavola A, Rodrigues M, Theilliol D (2015) Self-healing control architectures and design methodologies for linear parameter varying systems. Int J Robust Nonlinear Control 25(5):625–626

    Article  MathSciNet  MATH  Google Scholar 

  8. Xin Q, Theilliol D, Qi J et al (2014) Self healing control method against unmanned helicopter actuator stuck faults. In: International conference on unmanned aircraft systems. IEEE, pp 842–847

  9. Zhou M, Wang Z, Theilliol D et al (2016) A self-healing control method for satellite attitude tracking based on simultaneous fault estimation and control design. In: Conference on control and fault-tolerant systems, 349–354

  10. Vey D, Lunze J (2015) Structural reconfigurability analysis of multirotor UAVs after actuator failures. In: IEEE conference on decision and control. IEEE, pp 5097–5104

  11. Steffen T (2005) Control reconfiguration of dynamical systems. Springer, Berlin

    MATH  Google Scholar 

  12. Richter JH (2011) Reconfiguration control of nonlinear dynamical systems. Springer, Berlin

    Book  Google Scholar 

  13. Richter JH, Seron MM, De Doná JA (2012) Virtual actuator for Lure systems with Lipschitz-continuous nonlinearity. In: 8th IFAC symposium on fault detection, supervision and safety of technical processes, Mexico City, pp 222–227

  14. Vey D, Lunze J, Žáčeková E, Pčolka M, Šebek M (2015) Control reconfiguration of full-state linearizable systems by a virtual actuator. In: 9th IFAC symposium on fault detection, supervision and safety of technical processes, Paris (accepted)

  15. Reinschke KJ (1988) Multivariable control—a graph-theoretic approach. Springer, Berlin

    Book  MATH  Google Scholar 

  16. Schwager M, Annaswamy AM, Lavretsky E (2005) Adaptation-based reconfiguration in the presence of actuator failures and saturation. In: 2005 American control conference, pp 2640–2645

  17. 李波.过驱动航天器姿态控制分配研究[D]. 中国民航大学, 2013

  18. Hamdaoui R, Abdelkrim MN (2011) Conditions on diagnosis and accommodation delays for actuator fault recoverability. In: International multi-conference on systems, signals and devices, IEEE, pp 1–6

  19. Staroswiecki M, Cazaurang F (2008) Fault recovery by nominal trajectory tracking. In: American control conference, vol 32, issue 2, pp 1070–1075

  20. Zhang Y, Jiang J (2001) Fault tolerant control systems design with consideration of performance degradation. In: Proceedings of the American control conference, vol 4, pp 2694–2699

  21. Staroswiecki M (2005) Fault tolerant control using an admissible model matching approach. In: Proceeding of 44th IEEE conference on decision and control, and the European control conference, pp 2421–2426

  22. Yu D, Yue B (2011) Feedback control of a kind of underactuated spacecraft with fuel slosh. In: The Chinese conference on theoretical and applied mechanics 2011 in memorial of Tsien Hsue-Shen’s 100th anniversary. The Chinese Society of Theoretical and Applied Mechanics, Harbin

  23. Reyhanoglu M, Hervas JR (2012) Nonlinear control of a spacecraft with multiple fuel slosh modes. In: Decision and control and European control conference, IEEE, 6192–6197

  24. Lemei Zhu, Baozeng Yue (2011) Adaptive nonlinear dynamic inversion control for spacecraft attitude filled with fuel. J Dyn Control 9(4):321–325

    Google Scholar 

  25. Wallsgrove RJ, Akella MR (2005) Globally stabilizing saturated attitude control in the presence of bounded unknown disturbances. J Guid Control Dyn 28(5):957–963

    Article  ADS  Google Scholar 

  26. Lim HC, Bang H (2009) Adaptive control for satellite formation flying under thrust misalignment. Acta Astronaut 65(1):112–122

    Article  ADS  Google Scholar 

  27. 于彦波,胡庆雷,董宏洋,等.执行器故障与饱和受限的航天器滑模容错控制[J]. 哈尔滨工业大学学报, 2016, 48(4):20–25

  28. Mahmoud M, Jiang J, Zhang Y (2001) Stochastic stability analysis of fault-tolerant control systems in the presence of noise. Autom Control IEEE Trans 46(11):1810–1815

    Article  MathSciNet  MATH  Google Scholar 

  29. Mahmoud MM, Jiang J, Zhang Y (2003) Active fault tolerant control systems: stochastic analysis and synthesis. Springer, New York

    Book  MATH  Google Scholar 

  30. MufeedMahmoud YouminZhang (2003) Stabilization of active fault tolerant control systems with imperfect fault detection and diagnosis. Stoch Anal Appl 21(3):673–701

    Article  MathSciNet  Google Scholar 

  31. Sluis R V D, Mulder J, Bennani S et al (2006) Stability analysis of nonlinearly scheduled fault tolerant control system with varying structure. In: AIAA guidance, navigation, and control conference and exhibit

  32. Bateman A, Ward D, Monaco J (2002) Stability analysis for reconfigurability systems with actuator saturation. In: American control conference. Proceedings of the IEEE, vol 6, pp 4783–4788

  33. Maki M, Jiang J, Hagino K (2004) A stability guaranteed active fault-tolerant control system against actuator failures. Int J Robust Nonlinear Control 14(12):1061–1077

    Article  MathSciNet  MATH  Google Scholar 

  34. Boskovic JD, Mehra RK (2002) Multiple-model adaptive flight control scheme for accommodation of actuator failures. J Guid Control Dyn 25(4):712–724

    Article  ADS  Google Scholar 

  35. Wu NE, Zhou K, Salomon G (2002) Control reconfigurability of linear time-invariant systems. Automatica 36(11):1767–1771

    Article  MathSciNet  MATH  Google Scholar 

  36. Zhao HS, Xue N, Shi N (2013) Nonlinear dynamic power system model reduction analysis using balanced empirical gramian. Appl Mech Mater 448–453:2368–2374

    Article  Google Scholar 

  37. 李素兰,任元昊,保宏,等.时不变系统格莱姆矩阵的精细积分[J].西安电子科技大学学报:自然科学版, 2014, 第6期(06):106–110

  38. Maza S, Simon C, Boukhobza T (2012) Impact of the actuator failures on the structural controllability of linear systems: a graph theoretical approach. IET Control Theory Appl 6(3):412–419

    Article  MathSciNet  Google Scholar 

  39. Staroswiecki M (2002) On reconfigurability with respect to actuator failures. IFAC Proc Vol 35(1):257–262

    Article  Google Scholar 

  40. Hu T, Lin Z (2001) Control systems with actuator saturation: analysis and design. Control Eng

  41. 吕亮. 具有执行器饱和的控制系统分析与设计[D]. 上海交通大学, 2010

  42. Viswanathan CN, Longman RW, Likins PW (1984) A degree of controllability definition—fundamental concepts and application to modal systems. J Guid Control Dyn 7:222–230

    Article  ADS  MATH  Google Scholar 

  43. Brammer RF (1972) Controllability in linear autonomous systems with positive controllers. Siam J Control 10(2):339–353

    Article  MathSciNet  MATH  Google Scholar 

  44. Schmitendorf WE, Barmish BR (2006) Null controllability of linear systems with constrained controls. Siam J Control Optim 18(4):327–345

    Article  MathSciNet  MATH  Google Scholar 

  45. Barmish B, Schmitendorf WE (1980) New results on controllability of systems of the form. IEEE Trans Autom Control 25(3):540–547

    Article  MathSciNet  MATH  Google Scholar 

  46. Yoshida H, Tanaka T (2007) Positive controllability test for continuous-time linear systems. Autom Control IEEE Trans 52(9):1685–1689

    Article  MathSciNet  MATH  Google Scholar 

  47. Schmitendorf WE (1984) An exact expression for computing the degree of controllability. J Guid Control Dyn 7(4):502–504

    Article  ADS  MathSciNet  MATH  Google Scholar 

  48. Klein G, Lindberg JRE, Longman RW (1982) Computation of a degree of controllability via system discretization. J Guid Control Dyn 5(6):583–588

    Article  ADS  MathSciNet  MATH  Google Scholar 

  49. 杨斌先,杜光勋,全权,蔡开元.输入受限下的可控度分析及其在六旋翼飞行器设计中的应用. 第32届中国控制会议,西安,中国, 2013

  50. Frei CW, Kraus FJ, Blanket M (1999) Recoverability viewed as a system property. In: European control conference

Download references

Acknowledgements

This work was supported by the National Natural Science Funds for Distinguished Young Scholar of China under Grant nos. 61525301, the National Natural Science Foundations of China under Grant nos. 61690215, 61640304, 61573060 and 61203093.

Author information

Authors and Affiliations

  1. Beijing Institute of Control Engineering, China Academy of Space Technology, Beijing, 100190, China

    Heyu Xu, Chengrui Liu, Wenbo Li & Fangzhou Fu

  2. Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing, 100190, China

    Dayi Wang

Authors
  1. Heyu Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dayi Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chengrui Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wenbo Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Fangzhou Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dayi Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, H., Wang, D., Liu, C. et al. The Study on Reconfigurability Condition of Spacecraft Control System. Adv. Astronaut. Sci. Technol. 1, 197–206 (2018). https://doi.org/10.1007/s42423-018-0030-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42423-018-0030-4

Keywords

Search

Navigation