Open Access
Issue
JNWPU
Volume 43, Number 5, October 2025
Page(s) 1029 - 1040
DOI https://doi.org/10.1051/jnwpu/20254351029
Published online 05 December 2025
  1. SONG Zhengyu, HUANG Bing, WANG Xiaowei, et al. Development and key technologies of reusable launch vehicle[J]. Science and Technology Foresight, 2022, 1(1): 62 (in Chinese) [Google Scholar]
  2. BONHOMME C, IANNETTI A, GIRARD N, et al. Prometheus: European next generation liquid rocket engine[C]//68th International Aeronautical Congress, 2017 [Google Scholar]
  3. RICHARDSON M P, HARDY D W F. Economic benefits of reusable launch vehicles for space debris removal[J]. New Space, 2018, 6(3): 227–237. [Article] [Google Scholar]
  4. PANG Zhihao. The significance and key technologies of reusable rockets[J]. Science and Technology Review, 2016, 34(1): 15–19 (in Chinese) [Google Scholar]
  5. TIAN Feng. Starship SN-8 test flight: the first step of a long march[J]. Space Exploration, 2021(2): 46–53 (in Chinese) [Google Scholar]
  6. SONG Z Y, HUANG B, WANG X W, et al. Status and challenges of reusable launch vehicle recovery technology[J]. Journal of Deep Space Exploration, 2022, 9(5): 457–469 [Google Scholar]
  7. DANIEL J, BRUCE P, MARK E N. The reusable launch vehicle challenge[R]. AIAA-2026-7208 [Google Scholar]
  8. SZMUK M, ACIKMESE B, BERNING A W. Successive convexification for fuel-optimal powered landing with aerodynamic drag and non-convex constraints[C]//AIAA Guidance, Navigation, & Control Conference, 2015 [Google Scholar]
  9. LU P. Introducing computational guidance and control[J]. Journal of Guidance, Control, and Dynamics, 2017, 40(2): 193. [Article] [CrossRef] [Google Scholar]
  10. BETTS J T. Survey of numerical methods for trajectory optimization[J]. Journal of Guidance, Control, and Dynamics, 1998, 21(2): 193–207. [Article] [CrossRef] [Google Scholar]
  11. SONG Zhengyu, WANG Cong. Development of online trajectory planning technology for launch vehicle return and landing[J]. Astronauticla Systems Engineering Technology, 2019, 3(6): 1–12 [Google Scholar]
  12. WANG J, CUI N, WEI C. Rapid trajectory optimization for hypersonic entry using convex optimization and pseudospectral method[J]. Aircraft Engineering and Aerospace Technology, 2019, 91(4): 669–679. [Article] [Google Scholar]
  13. WANG J, CUI N, WEI C. Optimal rocket landing guidance using convex optimization and model predictive control[J]. Journal of Guidance, Control, and Dynamics, 2019, 42(5): 1078–1092. [Article] [CrossRef] [Google Scholar]
  14. LIU X, LU P, PAN B. Survey of convex optimization for aerospace applications[J]. Astrodynamics, 2017, 1: 23–40. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  15. MALYUTA D, YU Y, ELANGO P, et al. Advances in trajectory optimization for space vehicle control[J]. Annual Reviews in Control, 2021, 52: 282–315. [Article] [Google Scholar]
  16. MALYUTA D, REYNOLDS T P, SZMUK M, et al. Convex optimization for trajectory generation: a tutorial on generating dynamically feasible trajectories reliably and efficiently[J]. IEEE Control Systems Magazine, 2022, 42(5): 40–113. [Article] [Google Scholar]
  17. BLACKMORE L. Autonomous precision landing of space rockets[J]. The Bridge, 2016, 4(46): 15–20 [Google Scholar]
  18. SONG Z, WANG C, THEIL S, et al. Survey of autonomous guidance methods for powered planetary landing[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21: 652–674 [Google Scholar]
  19. SCHARF D P, REGEHR M W, VAUGHAN G M, et al. ADAPT demonstrations of onboard large-divert guidance with a VTVL rocket[C]//2014 IEEE Aerospace Conference, 2014 [Google Scholar]
  20. SZMUK M, ACIKMESE B, BERNING A W. Successive convexification for fuel-optimal powered landing with aerodynamic drag and non-convex constraints[C]//AIAA Guidance, Navigation, and Control Conference, 2016 [Google Scholar]
  21. REYNOLDS T P, MESBAHI M. Optimal planar powered descent with independent thrust and torque[J]. Journal of Guidance, Control, and Dynamics, 2020, 43(7): 1225–1231. [Article] [Google Scholar]
  22. LIU X. Fuel-optimal rocket landing with aerodynamic controls[J]. Journal of Guidance, Control, and Dynamics, 2019, 42(1): 65–77. [Article] [CrossRef] [Google Scholar]
  23. YANG R, LIU X. Fuel-optimal powered descent guidance with free final-time and path constraints[J]. Acta Astronautica, 2020, 172: 70–81. [Article] [Google Scholar]
  24. SZMUK M, REYNOLDS T P, AÇKMEŞE B. Successive convexification for real-time six-degree-of-freedom powered descent guidance with state-triggered constraints[J]. Journal of Guidance, Control, and Dynamics, 2020, 43(8): 1399–1413. [Article] [Google Scholar]
  25. REYNOLDS T P, SZMUK M, MALYUTA D, et al. Dual quaternion-based powered descent guidance with state-triggered constraints[J]. Journal of Guidance, Control, and Dynamics, 2020, 43(9): 1584–1599. [Article] [Google Scholar]
  26. LU P. Propellant-optimal powered descent guidance[J]. Journal of Guidance, Control, and Dynamics, 2017, 41(4): 813–826 [Google Scholar]
  27. LIU X, LU P, PAN B. Survey of convex optimization for aerospace applications[J]. Astrodynamics, 2017, 1(1): 23–40. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  28. LI Qingyang. Numerical analysis[M]. Beijing: Tsinghua University Press, 2001 (in Chinese) [Google Scholar]
  29. TANG Guojin, YONG Enmi, LUO Yazhong. Theory, method and application of spacecraft trajectory optimization[M]. Beijing: Science Press, 2012 (in Chinese) [Google Scholar]
  30. GARG D, PATTERSON M, HAGER W W, et al. A unified framework for the numerical solution of optimal control problems using pseudospectral methods[J]. Automatica, 2010, 46(11): 1843–1851. [Article] [Google Scholar]
  31. ANTSAKLIS P J, MICHEL A N. A linear systems primer[M]. Birkhäuser Boston: Springer Science & Business Media, 2007 [Google Scholar]
  32. WANG Chi, LIU Wei, GAO Yang. Three convexification-based methods for six-degree-of-freedom powered descent guidance[J]. Journal of Beijing University of Aeronautics and Astronautics, 2025, 51(4): 1292–1303 (in Chinese) [Google Scholar]
  33. DOMAHIDI A, CHU E, BOYD S. ECOS: an SOCP solver for embedded systems[C]//2013 European Control Conference, 2013 [Google Scholar]
  34. MULEKAR O, CHO H, BEVILACQUA R. Six-degree-of-freedom optimal feedback control of pinpoint landing using deep neural networks[C]//AIAA Scitech 2023 Forum, 2023 [Google Scholar]
  35. WANG Z. Trajectory optimization and guidance design by convex programming[D]. West Lafayette: Purdue University, 2018 [Google Scholar]

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