Autonomous Rescue Orbit Strategy and Trajectory Reconstruction for Propulsion System Failure of Launch Vehicle

You are here: Homepage > Search

Autonomous Rescue Orbit Strategy and Trajectory Reconstruction for Propulsion System Failure of Launch Vehicle

Li, Shiyao / Qiao, Hao / Yan, Yushen / Li, Xinguo

This paper presents an online rescue strategy and flight trajectory reconstruction algorithm for launch vehicles in case of propulsion system failure during ascending flight. Due to the dynamic model and parameters are different from the nominal status, the existing methods like iterative guidance method are usually invalid, therefore the online rescue orbit planning and flight trajectory reconstruction are considered in this study. Different terminal conditions are proposed according to different failure types and severity. This paper presents an algorithm to evaluate the remaining carrying capacity, a rescue orbit will be planning according to the online rescue strategy proposed in this paper if the nominal orbit is unreachable. To solve the problem conveniently, a new state variable is introduced, the successive convexification and trapezoid discretization are used to transform the original planning problem into the second-order cone programming (SOCP) problem. To improving the efficiency of the proposed algorithm, a calculation framework and an adaptive trust region are also proposed. The online potential and the efficiency of the proposed strategy and algorithm are demonstrated by numerical simulations.

Access

Check access

Check availability in my library

Order at Subito €

Export, share and cite

Document information

Title :

Autonomous Rescue Orbit Strategy and Trajectory Reconstruction for Propulsion System Failure of Launch Vehicle

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Li, Shiyao (author) / Qiao, Hao (author) / Yan, Yushen (author) / Li, Xinguo (author)

Published in:

Advances in Guidance, Navigation and Control ; Chapter : 120 ; 1441-1453

Lecture Notes in Electrical Engineering ; 644

Publication date :

2021-10-30

Size :

13 pages

ISBN :

978-981-15-8155-7 , 978-981-15-8154-0

ISSN :

1876-1119 , 1876-1100

DOI :