A SLIDING MODE FAULT RECONSTRUCTION METHOD USING IMPROVED REDUCED ORDER MODEL

Jing He,∗ Yiheng He,∗ Jianhua Liu,∗∗ Changfan Zhang,∗ and Simon X. Yang∗∗∗

References

  1. [1] Z. Shams and S. Seyedtabaii, Nonlinear flexible link robotjoint-fault estimation using TS fuzzy observers, InternationalJournal of Robotics and Automation, 35(1), 2020, 86–95.
  2. [2] Z. Zhu, J. Zhong, M. Ding, et al., Trajectory planning and hi-erarchical sliding-mode control of underactuated space roboticsystem, International Journal of Robotics and Automation,35(6), 2020, 431–439.
  3. [3] J. He, C.F. Zhang, S. Mao, et al., Demagnetization fault detec-tion in permanent magnet synchronous motors based on slid-ing observer, Journal of Nonlinear Sciences and Applications,9(5), 2016, 2039–2048.
  4. [4] G. Xiong, Link position control of flexible joint robots basedon Sliding Mode Technique, International Journal of Roboticsand Automation, 5(2), 2019, 1–22.
  5. [5] B. Draenovi, The invariance conditions in variable structuresystems, Automatica, 5(3), 1969, 287–295.
  6. [6] C. Edwards, S.K. Spurgeon, R.J. Patton, Sliding mode ob-servers for fault detection and isolation, Automatica, 36(4),2000, 541–553.
  7. [7] C.P. Tan and C. Edwards, Sliding mode observers for robustdetection and reconstruction of actuator and sensor faults,International Journal of Robust and Nonlinear Control: IFAC-Affiliated Journal, 13(5), 2003, 443–463.
  8. [8] M. Corless and J.A.Y. Tu, State and input estimation for aclass of uncertain systems, Automatica, 34(6), 1998, 757–764.
  9. [9] J. He and C. Zhang, Fault reconstruction based on slidingmode observer for nonlinear systems, Mathematical Problemsin Engineering, 2012, 1–22.
  10. [10] B.L. Walcott, M.J. Corless, and S.H. Zak, Comparative study ofnon-linear state-observation techniques, International Journalof Control, 45(6), 1987, 2109–2132.
  11. [11] W.S. Chua, J.C.L. Chan, C.P. Tan, et al., Robust faultreconstruction for a class of nonlinear systems, Automatica,113, 2020, 1–5.
  12. [12] J. Zhou, M. Ye, J. Ding, et al. Rapid and robust traffic acci-dent detection based on orientation map, Optical Engineering,51(11), 2012, 117201.
  13. [13] J. He, L. Mi, S. Mao, et al., Fault-tolerant control of a nonlinearsystem actuator fault based on sliding mode control, Journalof Control Science and Engineering, 2017, 2017, 1–13.
  14. [14] Z. Liu, Z. Han, Z. Zhao, et al., Modeling and adaptive controlfor a spatial flexible spacecraft with unknown actuator failures,Science China Information Sciences, 64(5), 2021, 1–16.
  15. [15] J. He, L. Mi, J. Liu, et al., Ring coupling-based collabora-tive fault-tolerant control for multi-robot actuator fault, In-ternational Journal of Robotics and Automation, 33(6), 2018,672–680.
  16. [16] L. Jia, Y. Wang, J. He, et al., Robust adaptive control based onmachine learning and NTSMC for workpiece surface-grindingrobot, International Journal of Robotics and Automation,35(6), 2020, 444–453.
  17. [17] J.C.L. Chan, C.P. Tan, H.Trinh, et al., Robust fault recon-struction for a class of non-infinitely observable descriptorsystems using two sliding mode observers in cascade, AppliedMathematics and Computation, 350, 2019, 78–92.
  18. [18] J. He, B. Yang, C. Zhang, et al., Robust consensus braking al-gorithm for distributed EMUs with uncertainties, IET ControlTheory & Applications, 13(17), 2019, 2766–2774.
  19. [19] K. Liu, Y. Wu, J. Xu, et al., Fuzzy sliding mode control of3-DOF shoulder joint driven by pneumatic muscle actuators,International Journal of Robotics and Automation, 34(1),2019, 38–45.
  20. [20] C. Nguyen, C.P. Tan, and H. Trinh, Sliding mode observer forestimating states and faults of linear time-delay systems withoutputs subject to delays, Automatica, 124, 2021, 1–5.
  21. [21] S.Z. Yong, M. Zhu, and E. Frazzoli, A unified filter forsimultaneous input and state estimation of linear discrete-timestochastic systems, Automatica, 63, 2016, 321–329.8
  22. [22] B. Zhou, Q. Liu, and F. Mazenc, Stabilization of linear sys-tems with both input and state delays by observer–predictors,Automatica, 83, 2017, 368–377.
  23. [23] F. Nemati, S.M.S. Hamami, and A. Zemouche, A nonlinearobserver-based approach to fault detection, isolation, and es-timation for satellite formation flight application, Automatica,107, 2019, 474–482.
  24. [24] J. He, X. Chen, S. Mao, et al., Virtual line shafting-based total-amount coordinated control of multi-motor traction power,Journal of Advanced Transportation, Article ID 4735397, 2020,9 pages.
  25. [25] S. Lavanya, A. Prasanth, S. Jayachitra, et al., A tuned clas-sification approach for efficient heterogeneous fault diagnosisin IoT-enabled WSN applications, Measurement, 183, 2021,109771.
  26. [26] A. Prasanth, Certain investigations on energy-efficient faultdetection and recovery management in underwater wirelesssensor networks, Journal of Circuits, Systems and Computers,30(08), 2021, 2150137.
  27. [27] H. Alwi, C. Edwards, and C.P. Tan, Sliding mode estimationschemes for unstable systems subject to incipient sensor faults,in 2008 American Control Conference (IEEE, 2008), 4703–4708.
  28. [28] Z. Gao, X. Liu, and M.Z.Q. Chen, Unknown input observer-based robust fault estimation for systems corrupted by par-tially decoupled disturbances, IEEE Transactions on IndustrialElectronics, 63(4), 2015, 2537–2547.
  29. [29] J. Lan and R.J. Patton, A new strategy for integration of faultestimation within fault-tolerant control, Automatica, 69, 2016,48–59.
  30. [30] H. Kong and S. Sukkarieh, An internal model approach to esti-mation of systems with arbitrary unknown inputs, Automatica,108, 2019, 108482.
  31. [31] X. Wang, C.P. Tan, and D. Zhou, A novel sliding modeobserver for state and fault estimation in systems not satisfyingmatching and minimum phase conditions, Automatica, 79,2017, 290–295.
  32. [32] A.N. Zhurabok, A.E. Shumsky and S.V. Pavlov, Diagnosisof linear dynamic systems by the nonparametric method,Automation and Remote Control, 78(7), 2017, 1173–1188.
  33. [33] A.N. Zhirabok, A.V. Zuev, and A.E. Shumsky, Diagnosis oflinear dynamic systems: An approach based on sliding modeobservers, Automation and Remote Control, 81(2), 2020, 211–225.
  34. [34] J. He, C. Zhang, and H. Chu, Sliding mode variable struc-ture observer-based sensor and actuator fault reconstructionfor nonlinear system, International Journal of Robotics andAutomation, 36, 2021.

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