Trajectory and Parameters Integrated Convex Optimization for Aerospace Vehicle Involving Combined-Cycle Propulsion

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aiming at the trajectory optimization problem for single-stage-to-orbit aerospace vehicles involving combined-cycle propulsion during the ascent phase, this paper proposes an integrated adaptive convex optimization method for trajectory and parameters, which optimizes the ascent trajectory and mode transition points simultaneously. By considering a more comprehensive trajectory model and propulsion model with an integrated airframe-propulsion configuration, the vehicle’s attitude and propulsion control inputs are incorporated to accommodate its specialties and achieve better performance. A climb-dive maneuver is investigated to accommodate the difficulty of transient thrust decline and possibilities of start-up failure or stall of combined-cycle propulsion during the complicated mode transition phase. Numerical simulation results demonstrate that the proposed method achieves superiorities of the balance between solution accuracy and computational efficiency, and the Monte-Carlo execution proves its strong robustness.

Original languageEnglish
Title of host publicationProceedings of the 2nd Aerospace Frontiers Conference, AFC 2025 - Volume II
PublisherSpringer Science and Business Media Deutschland GmbH
Pages454-468
Number of pages15
ISBN (Print)9789819530069
DOIs
StatePublished - 2026
Event2nd Aerospace Frontiers Conference, AFC 2025 - Beijing, China
Duration: 11 Apr 202514 Apr 2025

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference2nd Aerospace Frontiers Conference, AFC 2025
Country/TerritoryChina
CityBeijing
Period11/04/2514/04/25

Keywords

  • Aerospace vehicle
  • combined-cycle propulsion
  • mode transition
  • sequential convex programming
  • trajectory optimization

Fingerprint

Dive into the research topics of 'Trajectory and Parameters Integrated Convex Optimization for Aerospace Vehicle Involving Combined-Cycle Propulsion'. Together they form a unique fingerprint.

Cite this