logo

SCIENTIA SINICA Informationis, Volume 51 , Issue 4 : 648(2021) https://doi.org/10.1360/SSI-2020-0189

A fault diagnosis and tolerant control method for aerospace relay with environmental disturbance

More info
  • ReceivedJul 18, 2020
  • AcceptedSep 25, 2020
  • PublishedFeb 23, 2021

Abstract


Funded by

国家自然科学基金(61751304,61833016,61873273,61702142,61773388,61603398,61833013)

陕西省杰出青年基金(2020JC-34)

海南省重点研发计划(ZDYF2019007)


References

[1] Hu H F. Reliability analysis on complex and fault tolerant GNC system of launch vehicle. Aerospace Control, 2014, 32: 84--91. Google Scholar

[2] Hu H F, Song Z Y. Reliability and cost analysis of electronic products of flight control for aerospave vehicles. Missiles and Spave Vehicles, 2018, 365: 69--73. Google Scholar

[3] Yu Q. Research on Reliability Evalustion and Life Test Methods for Space Relays. Harbin: Harbin Institute of Technology, 2011. Google Scholar

[4] Qiao J Z, Lei Y J, Guo L. 微纳卫星姿态控制系统的精细抗干扰容错控制方法. Sci Sin-Inf, 2012, 42: 1327-1337 CrossRef Google Scholar

[5] Li W, Lu B Y. Intelligent active fault-tolerant control using multiple models approach. Comput Simulation, 2008, 25: 328--331. Google Scholar

[6] Zhou D H, Ding X. Theory and applications of fault tolerant control. ACTA Autom Sin, 2000, 26: 788--797. Google Scholar

[7] De M K. Stable fault-tolerance control for a class of networked control systems. ACTA Autom Sin, 2005, 31: 267--273. Google Scholar

[8] Zhai G F, Zhao X M, Liu M K, et al. Research on reliability life forecasting based on model-building of super-path time for aerospace relays. ACTA Aeronaut ET Astronaut Sin, 1998, 19: 617--620. Google Scholar

[9] Meng Y C. Research on reliability modeling and evaluation based on the degradation of performance parameters for aerospace relays. Dissertation for Master Degree. Harbin: Harbin Institute of Technology, 2015. Google Scholar

[10] Zhou Z, Feng Z, Hu C. Aeronautical relay health state assessment model based on belief rule base with attribute reliability. Knowledge-Based Syst, 2020, 197: 105869 CrossRef Google Scholar

[11] Cai G B, Hu C H, Cai Y N, et al. Diagnosis of switch/relay circuit fault based on qualitative reasoning. Journal of System Simulation, 2006, 18: 829--831. Google Scholar

[12] Wang J J, Wu X R. Adaptive diagnosis system for aviation relay. Aeronautical Manufactruring Technology, 2007, 2: 91--93. Google Scholar

[13] Yuan H B, Yuan H W, Lv H. Comprehensive decision of electrical apparatus control system failure based on AHP. Electrotech Appl, 2006, 25: 42--44. Google Scholar

[14] Zhou Z J, Zhao F J, Hu C H, et al. Failure prognosis method based on evidential reasoning for aerospace relay. J Shandong Univ (Eng Sci), 2017, 47: 22--29. Google Scholar

[15] Liang H M, Ren W B, Ye X R, et al. Research on the reliability tolerance analysis method of electromagnetic relay in aerospace. Chin J Aeronaut, 2005, 18: 67--73. Google Scholar

[16] Xiao B, Hu Q L, Ma G F. Robust fault tolerant attitude control for spacecraft under partial loss of actuator effectiveness. Control Decition, 2011, 6: 801--805. Google Scholar

[17] Zhang A H, Hu Q L, Huo X, et al. Fault reconstruction and fault tolerant attitude control for over-activated spacecraft under reaction wheel failure. J Astronaut, 2013, 3: 75--82. Google Scholar

[18] Xu Y F, Jiang B, Qi R Y, et al. T-S fuzzy adaptive observaer based fault diagnosis and fault tolerant control for near space vehicle. J Southeast Univ, 2009, 39: 189--194. Google Scholar

[19] Feng Z, Zhou Z J, Hu C. A New Belief Rule Base Model With Attribute Reliability. IEEE Trans Fuzzy Syst, 2019, 27: 903-916 CrossRef Google Scholar

[20] Zhou Z J, Hu G Y, Zhang B C. A Model for Hidden Behavior Prediction of Complex Systems Based on Belief Rule Base and Power Set. IEEE Trans Syst Man Cybern Syst, 2018, 48: 1649-1655 CrossRef Google Scholar

[21] Zhou Z J, Hu G Y, Hu C H. A Survey of Belief Rule-Base Expert System. IEEE Trans Syst Man Cybern Syst, 2019, : 1-15 CrossRef Google Scholar

[22] Zhou Z G, Liu F, Li L L. A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer. Knowledge-Based Syst, 2015, 85: 62-70 CrossRef Google Scholar

[23] Chen Y W, Yang J B, Pan C C. Identification of uncertain nonlinear systems: Constructing belief rule-based models. Knowledge-Based Syst, 2015, 73: 124-133 CrossRef Google Scholar

  • Figure 1

    (Color online) The fault diagnosis and tolerance control model for the aerospace relay

  • Figure 2

    (Color online) Scanning electron micrograph of JRC-7M aerospace relay in different states

  • Figure 3

    (Color online) Output of the fault diagnosis model for the aerospace relay

  • Figure 4

    (Color online) The change of absorption time after the voltage reconfiguration for the aerospace relay

  • Table 1   The reference points and values of the pull-in voltage
    L LL M SH H
    Reference value 1.6949 1.735 1.770 1.820 1.8573
  • Table 2   The reference points and values of the state of the aerospace relay
    N LF MF SF A
    Reference value 1 2 3 4 5
  • Table 3   The reference points and values of the functional defect for the aerospace relay
    TD LD MD BD SD
    Reference value 1.3539 2 2.8 4 4.6868
  • Table 4   The reference points and values of the fixed voltage
    L SL M SH H
    Reference value 0.4892 1.4 1.8 2.7 3.8314
  • Table 5   The optimized fault diagnosis model for the aerospace relay
    No.$t$ $(t-1)$ Rule weight Model output No.$t$ $(t-1)$ Rule weight Model output
    1 L L 0 $\left\{~{0.15,~0.31,~0.14,~0.01,~0.36}~\right\}$ 14 M SH 0.61 $\left\{~{0.02,~0.11,~0,~0.33,~0.52}~\right\}$
    2 L LL 0.01 $\left\{~{0.58,~0.29,~0.02,~0.03,~0.04}~\right\}$ 15 M H 1 $\left\{~{0.12,~0.54,~0.08,~0.21,~0.02}~\right\}$
    3 L M 0.24 $\left\{~{0.13,~0.13,~0.03,~0.30,~0.39}~\right\}$ 16 SH L 0.71 $\left\{~{0.02,~0.19,~0.06,~0.57,~0.14}~\right\}$
    4 L SH 0.28 $\left\{~{0.06,~0.36,~0.10,~0.37,~0.07}~\right\}$ 17 SH LL 0.74 $\left\{~{0.18,~0.12,~0.25,~0.42,~0}~\right\}$
    5 L H 0.57 $\left\{~{0.03,~0.09,~0.02,~0.78,~0.06}~\right\}$ 18 SH M 1 $\left\{~{0,~0.01,~0,~0.87,~0.09}~\right\}$
    6 LL L 0.03 $\left\{~{0.71,~0.10,~0.15,~0.00,~0.03}~\right\}$ 19 SH SH 0.36 $\left\{~{0,~0,~0,~0.19,~0.79}~\right\}$
    7 LL LL 0.32 $\left\{~{1,~0,~0,~0,~0}~\right\}$ 20 SH H 0.01 $\left\{~{0.26,~0.25,~0.31,~0,~0.15}~\right\}$
    8 LL M 0.10 $\left\{~{0.05,~0.09,~0.15,~0.44,~0.24}~\right\}$ 21 H L 0.27 $\left\{~{0.10,~0.52,~0.29,~0.01,~0.05}~\right\}$
    9 LL SH 0.53 $\left\{~{0.15,~0.12,~0.28,~0.31,~0.12}~\right\}$ 22 H LL 0.75 $\left\{~{0.25,~0.01,~0.37,~0.01,~0.34}~\right\}$
    10 LL H 0.77 $\left\{~{0,~0.35,~0.28,~0.03,~0.32}~\right\}$ 23 H M 0.60 $\left\{~{0.28,~0.08,~0.47,~0.08,~0.07}~\right\}$
    11 M L 0.48 $\left\{~{0.33,~0.07,~0.28,~0.15~,0.15}~\right\}$ 24 H SH 0.03 $\left\{~{0.03,~0.07,~0.39,~0.07,~0.41}~\right\}$
    12 M LL 0.01 $\left\{~{0.34,~0.05,~0.33,~0.08,~0.18}~\right\}$ 25 H H 0.02 $\left\{~{0.19,~0.25,~0.08,~0.23,0.23}~\right\}$
    13 M M 0.68 $\left\{~{0.43,~0.19,~0.31,~0,~0.04}~\right\}$
  • Table 6   The optimized control voltage reconfiguration model for the aerospace relay
    No.$t$ $(t-1)$ Rule weight Model output No.$t$ $(t-1)$ Rule weight Model output
    1 TD TD 0.10 $\left\{~{0.05,~0.14,~0.36,~0.29,~0.13}~\right\}$ 14 MD BD 0.43 $\left\{~{0.22,~0.06,~0.64,~~0.05,~0.01}~\right\}$
    2 TD LD 0.06 $\left\{~{0.18,~0.33,~0.14,~0.10,~0.23}~\right\}$ 15 MD SD 0.75 $\left\{~{0.11,~0.42,~~0.17,~0.25,~0.03}~\right\}$
    3 TD MD 0.78 $\left\{~{0.04,~0.05,~0.02,~0.79,~0.08}~\right\}$ 16 BD TD 0.10 $\left\{~{0.14,~0.30,~~0.15,~0.09,~0.30}~\right\}$
    4 TD BD 0.17 $\left\{~{0.57,~0.01,~0.09,~0.21,~0.09}~\right\}$17 BD LD 0.46 $\left\{~{0.06,~0.21,~~0.02,~0.45,~0.24}~\right\}$
    5 TD SD 0.51 $\left\{~{0.27,~0.09,~0.44,~0.13,~0.05}~\right\}$ 18 BD MD 0.00 $\left\{~{0.27,0.17,~~0.10,0.27,~0.17}~\right\}$
    6 LD TD 0.73 $\left\{~{0.83,~0.01,~0.06,~0.07,~0}~\right\}$ 19 BD BD 0.31 $\left\{~{0.05,0.22,0.15,~0.27,~0.29}~\right\}$
    7 LD LD 0.61 $\left\{~{0.58,~0.02,~0,~0.05,~0.32}~\right\}$ 20 BD SD 0.10 $\left\{~{0.14,0.05,~0.20,~0.21,~0.38}~\right\}$
    8 LD MD 0.84 $\left\{~{0.52,~0.01,~0.24,~0.19,~0.01}~\right\}$ 21 SD TD 0.01 $\left\{~{0.31,0.15,0.42,0.09,0}~\right\}$
    9 LD BD 0.18 $\left\{~{0.42,~0.08,~0.02,~0.19,~0.26}~\right\}$ 22 SD LD 0.53 $\left\{~{0.22,0.26,~0.19,0.17,0.13}~\right\}$
    10 LD SD 0.34 $\left\{~{0.19,~0.14,~0.16,~0.11,~0.37}~\right\}$ 23 SD MD 0.65 $\left\{~{0.21,0.21,~0,0.48,0.08}~\right\}$
    11 MD TD 0.17 $\left\{~{0.26,~0.08,~0.14,~0.29,~0.21}~\right\}$ 24 SD BD 0.85 $\left\{~{0,0.01,~0.01,0.01,0.96}~\right\}$
    12 MD LD 0.75 $\left\{~{0.25,~0.06,~0.37,~0.14,~0.15}~\right\}$ 25 SD SD 0.99 $\left\{~{0,0,0,~0.21,0.76}~\right\}$
    13 MD MD 0.56 $\left\{~{0.09,~0.10,~0.54,~0.23,~0.01}~\right\}$
qqqq

Contact and support