Skip to main content

Research on the Maximum Allowable Advancing Step of a Distributed Flight Control Simulation

  • Conference paper
  • First Online:
Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 644))

Included in the following conference series:

  • 1492 Accesses

Abstract

To finally guarantee the stability and real-time data transmission of network-induced distributed systems, the study of the maximum allowable advancing step of a constructive flight simulation is carried out. Firstly, time performance indicators of the flight dynamics model and the closed control system model are obtained by analyzing their dynamic characteristics in time domain, respectively. Then, the advancing step is calculated based on theory analysis. Finally, several groups of comparative experiments on standalone and distributed systems are conducted to demonstrate the control effects under different advancing steps. To apply the conclusions of this paper to distributed simulation systems can help to solve the unstable problem of distributed models and enhance the distributed simulation performance.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gong, Y.: The research of distributed virtual environment temporal consistency model and simulation technology. Master thesis, National University of Defense Technology (2005)

    Google Scholar 

  2. Zheng, S.P., He, J.F., Jin, J., Han, J.W.: DDS based high fidelity flight simulator. In: WASE International Conference on Information Engineering, vol. 1, pp. 548–551. IEEE Computer Society (2009)

    Google Scholar 

  3. Zhong, H.: Space-time consistency of large-scale distributed simulation system. Ph.D. thesis, National University of Defense Technology (2005)

    Google Scholar 

  4. Zhang, J.: Real perceive-based technology of time and space consistency in distributed virtual environment. J. Beijing Univ. Aeronaut. Astronaut. 36(8), 969–978 (2010)

    Google Scholar 

  5. Hong, S.P., Yong, H.K., Kim, D.S., Kwon, W.H.: A scheduling method for network-based control systems. IEEE Trans. Control Syst. Technol. 2(3), 318–330 (2002)

    Article  Google Scholar 

  6. Rodrigues, C., Silva, D.C., Rossetti, R.J.F., Oliveira, E.: Distributed flight simulation environment using flight simulator X. In: Information Systems and Technologies. IEEE (2015)

    Google Scholar 

  7. Jiang, N., Huang, A.X., Li, J.S., Li, H.T.: Research on network time delay of collaborative fighting distributed simulation system based on HLA. J. Syst. Simul. 19(14), 3234–3236 (2007)

    Google Scholar 

  8. Li, B., Zhou, S.H.: Analysis of stability in distributed detection system with network delay. In: Second International Workshop on Education Technology and Computer Science (ETCS), vol. 1, pp. 317–320. IEEE (2010)

    Google Scholar 

  9. Xie, L.B.: Research on several issues of networked control systems. Ph.D. thesis, Huazhong University of Science and Technology (2004)

    Google Scholar 

  10. Etkin, B.: Dynamics of Atmospheric Flight. Dover Publications, New York (2005)

    Google Scholar 

  11. Garza, F.R.: A collection of nonlinear aircraft simulations in MATLAB, vol. 2, pp. 34, 36, 39. Nasa Langley Research Center (2003)

    Google Scholar 

  12. Sonneveldt, L.: Nonlinear F-16 model description. Control and Simulation Division, Faculty of Aerospace Engineering. Delft University of Technology, Netherlands (2006)

    Google Scholar 

  13. Zhang, M.L.: Flight Control System. Beijing University of Aeronautics and Astronautics Press, Beijing (1994)

    Google Scholar 

  14. Cheng, P.: Automatic Control Theory. High Education Press, Beijing (2003)

    Google Scholar 

  15. Gao, J.Y., Xia, J.: Computer Control System. Tsinghua University Press, Beijing (2007)

    Google Scholar 

  16. Ma, Y.F., Song, X., Wang, J.Y., Xiao, Z.: A practical infrastructure for real-time simulation across timing domains. Math. Probl. Eng. 2015, 1–12 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guanghong Gong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Li, Y., Guo, C., Song, X., Li, N., Gong, G., Ma, Y. (2016). Research on the Maximum Allowable Advancing Step of a Distributed Flight Control Simulation. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_35

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-2666-9_35

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2665-2

  • Online ISBN: 978-981-10-2666-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics