Research on Integrated Modeling and Simulation Method of Missile Electrical System Based on X Language

  • Conference paper
  • First Online:
Intelligent Networked Things (CINT 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2138 ))

Included in the following conference series:

  • 5 Accesses

Abstract

For the large and complex products, the current traditional model-based systems engineering (MBSE) approach to system design and simulation by integrating a variety of modelling and simulation languages and platforms cannot ensure efficient and accurate feedback of system design to achieve rapid design optimization. A new generation of integrated modeling and simulation language, X language, designed for complex systems and supporting MBSE, has been applied to achieve integrated modeling and simulation of the missile electrical system. By analyzing the power supply demands of each device during the missile guidance process, system-level and physical-level models of the guidance scenario were established. Unified modeling and simulation verification was carried out using XLab, a modeling and simulation software tailored to X language. The integrated method of collaborative design and simulation for complex products based on X language provides a new theory and method reference for the designers in different fields to realize the coordination and optimization of the complex product design.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lin, Z., Lei, R., Fei, T.: Complex product manufacturing digital integration platform technology. Defense Manuf. Technol. 4, 4–10 (2010)

    Google Scholar 

  2. Ramos, A.L., Ferreira, J.V., Barceló, J.: Model-based systems engineering: an emerging approach for modern systems. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42(1), 101–111 (2011)

    Google Scholar 

  3. Hause, M.: OMG systems modeling language (OMG SysML™) tutorial. INCOSE international symposium 19(1), 1840–1972 (2009)

    Article  Google Scholar 

  4. Estefan, J.A.: Survey of model-based systems engineering (MBSE) methodologies. Incose MBSE Focus Group 25(8), 1–12 (2007)

    Google Scholar 

  5. Morkevicius, A., Aleksandraviciene, A., Mazeika, D., et al.: MBSE Grid: a simplified SysML-based approach for modeling complex systems. In: INCOSE International Symposium 27(1), pp. 136–150 (2017)

    Google Scholar 

  6. Jieshi, S., Qing, Z., Bingfei, L., et al.: Co-simulation of SysML and Simulink/Modelica using FMI. In: ICAS 2020 (2020)

    Google Scholar 

  7. SysML-Modelica integration working group: SysML Modelica transformation specification version 1.0. (2010)

    Google Scholar 

  8. Shuhua, Z., Yue, C., Zheng, Z., et al.: System design and simulation integration for complex mechatronic products based on SysML and modelica. J. Comput.-Aided Des. Comput. Graph. 30(4), 728–738 (2018)

    Google Scholar 

  9. **nquan, W., Xuefeng, Y., **ngchan, L., et al.: Simulating hybrid SysML models: a model transformation approach under the DEVS framework. J. Supercomput. 79(2), 2010–2030 (2023)

    Article  Google Scholar 

  10. Zhang, L., Ye, F., **e, K., et al.: An integrated intelligent modeling and simulation language for model-based systems engineering. J. Ind. Inf. Integr. 28, 100347 (2022)

    Google Scholar 

  11. Zhang, L., Ye, F., Laili, Y., et al.: X language: an integrated intelligent modeling and simulation language for complex products. In: 2021 Annual Modeling and Simulation Conference (ANNSIM), pp. 1–11. IEEE, Fairfax (2016). https://doi.org/10.23919/ANNSIM52504.2021.9552057

  12. **e, K., Zhang, L., Laili, Y., et al.: XDEVS: a hybrid system modeling framework. Int. J. Model. Simul. Sci. Comput. 13(02), 2243001 (2022)

    Article  Google Scholar 

  13. Gu, P., Chen, Z., Zhang, L., et al.: X-SEM: a modeling and simulation-based system engineering methodology. J. Manuf. Syst. 74, 198–221 (2024)

    Article  Google Scholar 

  14. Gu, P., Zhang, L., Chen, Z., et al.: Collaborative design and simulation integrated method of civil aircraft take-off scenarios based on X language. J. Syst. Simul. 34(5), 929–943 (2022)

    Google Scholar 

  15. Zhang, Y., Gu, P., Chen, Z., et al.: A method and implementation of automatic requirement tracking and verification for complex products based on X language. In: China Intelligent Networked Things Conference, pp. 443–455. Springer, Singapore (2022). https://doi.org/10.1007/978-981-19-8915-5_38

  16. Junjun, C.: Missile Electrical System Multi-tool Modeling and FMI-Based Integrated Verification. Beihang University, Bei**g (2019)

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Key R &D Program of China, No. 2018YFB1701600.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lin Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gu, P., Li, Y., Wu, Z., Chen, Z., **e, K., Zhang, L. (2024). Research on Integrated Modeling and Simulation Method of Missile Electrical System Based on X Language. In: Zhang, L., Yu, W., Wang, Q., Laili, Y., Liu, Y. (eds) Intelligent Networked Things. CINT 2024. Communications in Computer and Information Science, vol 2138 . Springer, Singapore. https://doi.org/10.1007/978-981-97-3951-6_21

Download citation

  • DOI: https://doi.org/10.1007/978-981-97-3951-6_21

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-3950-9

  • Online ISBN: 978-981-97-3951-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation