Advertisement

Modeling and Simulation in Distributed Cooperative Simulation Platform of Aircraft Fuel System

  • Zhiyong Fan
  • Da TengEmail author
  • Zhexu Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 582)

Abstract

Based on the comprehensive design and airworthiness verification of civil aircraft fuel system, the simulation modeling of fuel system is completed. The aircraft fuel system model is designed by using AMESim software under the environment of distributed cooperative simulation platform. It can realize the fuel quantity change of aircraft fuel system, and ventilation and pressurization, and inerting. The functions of pressure refueling, engine supply and oil discharge are realized through the heat transfer and pipeline analysis of fuel system. The simulation results show that the fuel system can effectively realize the functional characteristics of the actual fuel system, which is of great significance for the optimization design of the aircraft system and the modification integration test.

Keywords

Fuel system Distributed cooperative simulation platform Integrated test 

Notes

Acknowledgments

This research was funded by the Joint Funds of the National Natural Science Foundation of China Key Project (grant number U1533201), the Natural Science Foundation of Tianjin (grant number 18JCQNJC05000) and the National Natural Science Foundation of China (grant number 61703406). The authors would also like to express their sincere appreciation to the Higher Education Innovative Team Training Program of Tianjin, and comments from the reviewers and the editor are very much appreciated.

References

  1. 1.
    Marino, A.: Distributed adaptive control of networked cooperative mobile manipulators. J. IEEE Trans. Control Syst. Technol. 99, 1–15 (2017)Google Scholar
  2. 2.
    Li, X., Zhou, Z., Hou, Y., Cao, K.: Design and simulation of integrative testing system for accessories of aircraft fuel system. In: 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), pp. 642–646. Shanghai (2017)Google Scholar
  3. 3.
    Zhou, Y., Zhang, W.: The research of aircraft fuel system fault simulation training system. In: 2012 IEEE International Conference on Automation and Logistics, pp. 484–488. Zhengzhou (2012)Google Scholar
  4. 4.
    Agrawal, A., Djenidi, L., Agrawal, A.: Simulation of gas flow in microchannels with a single bend. J. Comput. Fluids 38, 1629–1637 (2009)CrossRefGoogle Scholar
  5. 5.
    Bu, X., Lin, G., Sun, B., et al.: Experimental study of an aircraft fuel tank inerting system. J. Chin. J. Aeronaut. 28(2), 394–402 (2015)CrossRefGoogle Scholar
  6. 6.
    Gao, Z., Ma, C., Dong, S., et al.: Deep quantum inspired neural network with application to aircraft fuel system fault diagnosis. J. Neurocomputing 238, 13–23 (2017)CrossRefGoogle Scholar
  7. 7.
    Yuan, Z.H., Cao, N.X.: Design of flow simulation subsystem of ground simulation test for aircraft fuel system. J. Adv. Mater. Res. 466, 1172–1175 (2012)CrossRefGoogle Scholar
  8. 8.
    Yang, M., Wang, S.: Health management system based on airworthiness of the aircraft fuel system. J. Procedia Eng. 80, 34–43 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Engineering Techniques Training CenterCivil Aviation University of ChinaTianjinChina
  2. 2.College of Electronic Information and AutomationCivil Aviation University of ChinaTianjinChina

Personalised recommendations