Skip to main content

An Adaptive In-Flight Load Distribution Control Using Pressure Field Sensing

  • Conference paper
  • First Online:
The Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2021), Volume 2 (APISAT 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 913))

Included in the following conference series:

  • 1520 Accesses

Abstract

Multidisciplinary optimization in aircraft design is approaching its limits, and breakthrough technologies are needed to improve further fuel efficiency. If in-flight switching control can be feasible between a drag-minimizing load distribution during a cruise, which accounts for most of the flight time, and a dedicated gust-tolerant load distribution for turbulent airspace, then it will be possible to extend the aspect ratio of the main wing while mitigating actual structural damage without weight increase. The technology to design the optimum target load distribution by multi-objective optimization already exists, but the feasibility of feedback control to realize the target load distribution has not yet been investigated. In this study, this problem is solved by an adaption scheme consisting of in-flight pressure field sensing, real-time modeling of unsteady pressure fluctuations, and stochastic optimal control. The effectiveness of the proposed active technology will be shown through wind tunnel testing.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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. Bradley MK, Droney CK (2012) Subsonic ultra green aircraft research phase II: N+4 Advanced Concept Development, NASA/CR-2012–217556

    Google Scholar 

  2. Ying B, Changchuan X, An C, Chao Y (2017) Gust load alleviation wind tunnel tests of a large-aspect-ratio flexible wing with piezoelectric control. Chin J Aeronaut 30(1)

    Google Scholar 

  3. Tsushima N, Tamayama M (2019) Recent researches on morphing aircraft technologies in Japan and other countries. Mech Eng Rev 6(2)

    Google Scholar 

  4. https://www.flxsys.com/aero

  5. N. Nguyen, K. E. Hashemi, and M. Drew (2018) Multi-Objective Adaptive Control for Load Alleviation and Drag Minimization of Flexible Aircraft, Florida, AIAA SciTech Forum

    Google Scholar 

  6. Fujii K, Yokozeki T, Arizono H, Tamayama M (2017) Fundamental study on adaptive wing structure for control of wing load distribution. Trans. JSASS Aerosp Tech Japan 15(APISAT-2016)

    Google Scholar 

  7. Tashiro Y, Yokozeki T, Tamayama M (2019) Load Control of Morphing Wings, Korea-Japan Joint Seminar on Advanced Structures and Materials for Morphing Technology in Future Aircrafts, Jeju Island, South Korea

    Google Scholar 

  8. Pena F, Martins BL, Richards WL (2018) Active in-flight load redistribution utilizing fibber-optic shape sensing and multiple control surfaces, NASA/TM-2018-219741

    Google Scholar 

  9. Goswami R (2019) Sensor fusion framework for real-time aerodynamic load estimation. In: AIAA SciTech 2019 Forum

    Google Scholar 

  10. Kohzai M et al (2019) Flap surface pressure measurements with 3D printed pressure belts in FQUROH flight demonstration. In: AIAA 2019–2111, Session: Aerodynamic Measurements II–In-Flight Testing

    Google Scholar 

  11. Raab C (2021) Dynamic flight load measurements with MEMS pressure sensors. CEAS Aeronaut J

    Google Scholar 

  12. Wada D, Tamayama M (2019) Wing load and angle of attack identification by integrating optical fiber sensing and neural network approach in wind tunnel test. Appl Sci 9(7):1461. https://doi.org/10.3390/app9071461

  13. Wada D, Tamayama M, Murayama H (2020) Smart wing load alleviation through optical fiber sensing, load identification, and deep reinforcement learning. Eng Res Express 2(4)

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge members of JAXA LWT1 for supporting the wind tunnel experimental setup.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Midori Maki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Mori, R., Maki, M., Tamayama, M. (2023). An Adaptive In-Flight Load Distribution Control Using Pressure Field Sensing. In: Lee, S., Han, C., Choi, JY., Kim, S., Kim, J.H. (eds) The Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2021), Volume 2. APISAT 2021. Lecture Notes in Electrical Engineering, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-19-2635-8_24

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-2635-8_24

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2634-1

  • Online ISBN: 978-981-19-2635-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics