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Adaptive dynamic programming-based fault-tolerant attitude control for flexible spacecraft with limited wireless resources

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Abstract

This paper investigates the attitude control for flexible spacecraft subject to actuator faults and limited onboard communication resources. The control torque quantization scheme is considered between the controller and actuator to reduce the communication burden on the spacecraft. An integral sliding mode control method is designed to stabilize the closed-loop attitude control system and ensure the near-optimal performance of the sliding motion. First, an iterative learning observer scheme is employed to reconstruct the actuator faults and the unknown nonlinear flexible dynamics. Second, an integral sliding surface is combined with the backstepping control method to resolve the time-varying characterization of the closed system. Third, a combination of the adaptive dynamic programming technique and the adaptive single critic neural network approximation is employed to examine the optimal control policy. Finally, the efficacy of the proposed spacecraft attitude control method is demonstrated via a simulation.

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References

  1. Yogi S C, Tripathi V K, Behera L. Adaptive integral sliding mode control using fully connected recurrent neural network for position and attitude control of quadrotor. IEEE Trans Neural Netw Learn Syst, 2021, 32: 5595–5609

    Article  MathSciNet  Google Scholar 

  2. Zhou N, Cheng X, Xia Y, et al. Fully adaptive-gain-based intelligent failure-tolerant control for spacecraft attitude stabilization under actuator saturation. IEEE Trans Cybern, 2022, 52: 344–356

    Article  Google Scholar 

  3. Liu W, Geng Y, Wu B, et al. Neural-network-based adaptive event-triggered control for spacecraft attitude tracking. IEEE Trans Neural Netw Learn Syst, 2020, 31: 4015–4024

    Article  MathSciNet  Google Scholar 

  4. Song Y, He L, Zhang D, et al. Neuroadaptive fault-tolerant control of quadrotor UAVs: a more affordable solution. IEEE Trans Neural Netw Learn Syst, 2019, 30: 1975–1983

    Article  MathSciNet  Google Scholar 

  5. Yang Q, Cao W, Meng W, et al. Reinforcement-learning-based tracking control of waste water treatment process under realistic system conditions and control performance requirements. IEEE Trans Syst Man Cybern Syst, 2022, 52: 5284–5294

    Article  Google Scholar 

  6. Liu W, Wu R, Si J, et al. A new robotic knee impedance control parameter optimization method facilitated by inverse reinforcement learning. IEEE Robot Autom Lett, 2022, 7: 10882–10889

    Article  Google Scholar 

  7. Jiang B, Lu J, Liu Y, et al. Periodic event-triggered adaptive control for attitude stabilization under input saturation. IEEE Trans Circuits Syst I, 2020, 67: 249–258

    Article  MathSciNet  MATH  Google Scholar 

  8. Liu Y, Jiang B, Lu J, et al. Event-triggered sliding mode control for attitude stabilization of a rigid spacecraft. IEEE Trans Syst Man Cybern Syst, 2020, 50: 3290–3299

    Article  Google Scholar 

  9. Liu A, Zhang W A, Yu L, et al. Formation control of multiple mobile robots incorporating an extended state observer and distributed model predictive approach. IEEE Trans Syst Man Cybern Syst, 2020, 50: 4587–4597

    Article  Google Scholar 

  10. Xia K, Huo W. Disturbance observer based fault-tolerant control for cooperative spacecraft rendezvous and docking with input saturation. Nonlinear Dyn, 2017, 88: 2735–2745

    Article  MATH  Google Scholar 

  11. Yang H, Han H, Yin S, et al. Sliding mode-based adaptive resilient control for Markovian jump cyber-physical systems in face of simultaneous actuator and sensor attacks. Automatica, 2022, 142: 110345

    Article  MathSciNet  MATH  Google Scholar 

  12. Yang H, Yin S, Han H, et al. Sparse actuator and sensor attacks reconstruction for linear cyber-physical systems with sliding mode observer. IEEE Trans Ind Inf, 2022, 18: 3873–3884

    Article  Google Scholar 

  13. Gao Z, Han B, Jiang G, et al. Active fault tolerant control design approach for the flexible spacecraft with sensor faults. J Franklin Institute, 2017, 354: 8038–8056

    Article  MathSciNet  MATH  Google Scholar 

  14. Shen Q, Yue C, Goh C H, et al. Active fault-tolerant control system design for spacecraft attitude maneuvers with actuator saturation and faults. IEEE Trans Ind Electron, 2018, 66: 3763–3772

    Article  Google Scholar 

  15. Li B, Hu Q, Yu Y, et al. Observer-based fault-tolerant attitude control for rigid spacecraft. IEEE Trans Aerosp Electron Syst, 2017, 53: 2572–2582

    Article  Google Scholar 

  16. Jia Q, Gui Y, Wu Y, et al. Disturbance observer-based performance guaranteed fault-tolerant control for multi-spacecraft formation reconfiguration with collision avoidance. Aerospace Sci Tech, 2023, 133: 108099

    Article  Google Scholar 

  17. Lyke J C. Plug-and-play satellites. IEEE Spectr, 2012, 49: 36–42

    Article  Google Scholar 

  18. Xing L, Wen C, Liu Z, et al. An event-triggered design scheme for spacecraft attitude control. In: Proceedings of the 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2017. 1552–1557

  19. Liu Q, Liu M, Shi Y, et al. Event-triggered adaptive attitude control for flexible spacecraft with actuator nonlinearity. Aerospace Sci Tech, 2020, 106: 106111

    Article  Google Scholar 

  20. Lv X, Niu Y, Park J H, et al. Sliding mode control for 2D FMII systems: a bidirectional dynamic event-triggered strategy. Automatica, 2023, 147: 110727

    Article  MathSciNet  MATH  Google Scholar 

  21. Liu R, Cao X, Liu M, et al. 6-DOF fixed-time adaptive tracking control for spacecraft formation flying with input quantization. Inf Sci, 2019, 475: 82–99

    Article  MathSciNet  MATH  Google Scholar 

  22. Liu A, Zhang W A, Yu L. Robust predictive tracking control for mobile robots with intermittent measurement and quantization. IEEE Trans Ind Electron, 2021, 68: 509–518

    Article  Google Scholar 

  23. Schaub H, Akella M R, Junkins J L. Adaptive control of nonlinear attitude motions realizing linear closed loop dynamics. J Guidance Control Dyn, 2001, 24: 95–100

    Article  Google Scholar 

  24. Kumar S V, Raja R, Anthoni S M, et al. Robust finite-time non-fragile sampled-data control for T-S fuzzy flexible spacecraft model with stochastic actuator faults. Appl Math Computation, 2018, 321: 483–497

    Article  MathSciNet  MATH  Google Scholar 

  25. Gao J, Cai Y. Adaptive finite-time control for attitude tracking of rigid spacecraft. J Aerosp Eng, 2016, 29: 04016016

    Article  Google Scholar 

  26. Nazari M, Butcher E A, Schaub H. Spacecraft attitude stabilization using nonlinear delayed multiactuator control and inverse dynamics. J Guidance Control Dyn, 2013, 36: 1440–1452

    Article  Google Scholar 

  27. Wang C, Wen C, Lin Y, et al. Decentralized adaptive tracking control for a class of interconnected nonlinear systems with input quantization. Automatica, 2017, 81: 359–368

    Article  MathSciNet  MATH  Google Scholar 

  28. Sun H, Hou L, Zong G, et al. Fixed-time attitude tracking control for spacecraft with input quantization. IEEE Trans Aerosp Electron Syst, 2018, 55: 124–134

    Article  Google Scholar 

  29. Wu B. Spacecraft attitude control with input quantization. J Guidance Control Dyn, 2016, 39: 176–180

    Article  Google Scholar 

  30. Wu B, Cao X. Robust attitude tracking control for spacecraft with quantized torques. IEEE Trans Aerosp Electron Syst, 2018, 54: 1020–1028

    Article  Google Scholar 

  31. Chen Q, Xie S, He X. Neural-network-based adaptive singularity-free fixed-time attitude tracking control for spacecrafts. IEEE Trans Cybern, 2020, 51: 5032–5045

    Article  Google Scholar 

  32. Dierks T, Jagannathan S. Optimal control of affine nonlinear continuous-time systems. In: Proceedings of the American Control Conference, 2010. 1568–1573

  33. Cao X, Yue C, Liu M. Fault-tolerant sliding mode attitude tracking control for flexible spacecraft with disturbance and modeling uncertainty. Adv Mech Eng, 2017, 9: 168781401769034

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Science Center Program of National Natural Science Foundation of China (Grant No. 62188101), National Natural Science Foundation of China (Grant Nos. 61833009, 61690212), Heilongjiang Touyan Team, and Guangdong Major Project of Basic and Applied Basic Research (Grant No. 2019B030302001).

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Authors and Affiliations

  1. School of Astronautics, Harbin Institute of Technology, Harbin, 150001, China

    Ming Liu, Qiuhong Liu, Lixian Zhang, Guangren Duan & Xibin Cao

  2. Beijing Institute of Control Engineering, Beijing, 100080, China

    Qiuhong Liu

Authors
  1. Ming Liu
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  2. Qiuhong Liu
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  3. Lixian Zhang
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  4. Guangren Duan
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  5. Xibin Cao
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Correspondence to Ming Liu.

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Liu, M., Liu, Q., Zhang, L. et al. Adaptive dynamic programming-based fault-tolerant attitude control for flexible spacecraft with limited wireless resources. Sci. China Inf. Sci. 66, 202201 (2023). https://doi.org/10.1007/s11432-022-3732-9

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  • DOI: https://doi.org/10.1007/s11432-022-3732-9

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