Journal of Intelligent & Robotic Systems

, Volume 86, Issue 2, pp 291–307 | Cite as

Path Planning to Improve Reachability in a Forced Landing



This paper proposes a novel path planning method for improving the feasibility of a forced landing. When an aircraft completely loses its thrust, the only measure it can take is to make a forced landing at an adjacent airport as soon as possible. In such a situation, the flight path to the landing point must be safe and viable. This paper details a method which enables safer and easier landing by transferring the benefits of excess altitude to the final approach length. Moreover, by planning the descent angle of final approach to be in the middle of a non-spoiler and a full-spoiler glide angle, this method enables a change in descent angle to correct any tracking errors, without using thrust. To verify the effectiveness of the proposed method, six degrees-of-freedom nonlinear simulations were performed and the results are compared with comparable methods. From the simulation results, it was confirmed that the proposed method could plan a safe path in a sufficiently short time and the aircraft could reach the landing point safely.


Aircraft Forced landing Gliding Path planning Reachability Analysis 


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  1. 1.
    Collection of data about commercial airplane in 2014, chapter 1, Japan Aircraft Development Corporation, (2014). Accessed 25 December, 2014
  2. 2.
    Survey and Research about an analysis of the effect of Low-Cost-Carrier entry, Ministry of Land Infrastructure Transport and Tourism, (2014). Accessed 25 December, 2014
  3. 3.
    Information about safety of air transportation in 2013, Japanese Civil Aviation Bureau, (2014). Accessed 25 December, 2014
  4. 4.
    Volcanic Hazards Impacts on Aviation, Committee on Commerce Science and Transportation, (2006). Accessed 25 December 2014
  5. 5.
    US Airways Flight 1549 Accident Report, NTSB (2010). Accessed 25 December 2014Google Scholar
  6. 6.
    Bird strike data in 2012, Ministry of Land, Infrastructure, Transport, and Tourism, (2013). Accessed 25 December, 2014
  7. 7.
    FAA, Order 8260.38AGoogle Scholar
  8. 8.
    Pillar, E., Luis, M., Xi, L., Rodney, W.: Automating Human Thought Processes for a UAV Forced Landing. J. Intell. Robot. Syst. 57(1-4), 329–349 (2010)CrossRefMATHGoogle Scholar
  9. 9.
    Luis, M., Pillar, E.: Controlled Emergency Landing of an Unpowered Unmanned Aerial System. J. Intell. Robot. Syst. 70(1-4), 421–435 (2010)Google Scholar
  10. 10.
    Adler, A., Bar-Gill, A., Simkin, N.: Optimal flight path for engine-out emergency landing, 24th Chinese Control and Decision Conference, pp. 2908–2915 (2012)Google Scholar
  11. 11.
    Matthew, C., Wen-Hua, C., Peter, R.: Reachability Analysis of Landing Sites for Forced Landing of a UAS. J. Intell. Robot. Syst. 73(1-4), 635–653 (2014)CrossRefGoogle Scholar
  12. 12.
    Aiying, L., Wenrui, D., Jiaxing, W., Hongguang, L.: Autonomous Vision-Based Safe Area Selection Algorithm for UAV Emergency Forced Landing. Communications in Computer and Information Science 308, 254–261 (2012)CrossRefGoogle Scholar
  13. 13.
    Johannes, S., Walter, F.: Fast Generation of Landing Path for Fixed-Wing Aircraft with Thrust Failure, AIAA Guidaince, Navigation, and Control Conference, San Diego, California, USA, 4–8 (2016)Google Scholar
  14. 14.
    Dubins, L. E.: On Curves of minimal length with a constraint on average curvature, and with prescribes initial and terminal positions and tangents. Am. J. Math. 79(3), 497–516 (1957)MathSciNetCrossRefMATHGoogle Scholar
  15. 15.
    Jan, R.: Airplane Flight Dynamics and Automatic Flight Controls DAR corporation (2001)Google Scholar
  16. 16.
    Marcos, A.: A Linear Parameter Varying Model of the Boeing 747-100/200 Longitudinal Motion University of Minnesota (2001)Google Scholar
  17. 17.
    AIP Japan, Japan Civil Aviation Bureau, (2014). Accessed 25 December, 2014

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Center for Space and Environment Design Engineering School of Science for Open and Environmental SystemsKeio UniversityMinato-kuJapan
  2. 2.Department of System Design EngineeringKeio UniversityMinato-kuJapan

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