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Trajectory Optimization and Guidance Strategy for TBCC Powered Vehicles Considering Mode Transition Point

  • Beihang University

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

Abstract

To address the challenges of complex propulsion mode transition, strong nonlinearity, and stringent path constraints during the ascent phase of Turbine-Based Combined Cycle (TBCC) powered vehicles, this paper presents an integrated trajectory optimization and guidance method that takes into account the optimization of propulsion mode transition points. During the trajectory optimization phase, a nonlinear optimal control problem is formulated where the altitude and velocity at the mode transition point are introduced as optimization variables. These are jointly optimized along with dynamic pressure, overload, and heat flux constraints to obtain a globally feasible solution. Simulation results demonstrate that, in comparison with traditional fixed mode transition strategies, the proposed method achieves approximately 2%–5% fuel savings and shortens the ascent duration while satisfying all path constraints. Furthermore, a Linear Quadratic Regulator (LQR) is designed to achieve real-time feedback control of the optimal trajectory. Further Monte Carlo simulations confirm that the proposed guidance strategy maintains robust performance under uncertain environments.

Original languageEnglish
Title of host publication2025 16th International Conference on Mechanical and Aerospace Engineering, ICMAE 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-258
Number of pages6
ISBN (Electronic)9798331513672
DOIs
StatePublished - 2025
Event16th International Conference on Mechanical and Aerospace Engineering, ICMAE 2025 - Rome, Italy
Duration: 15 Jul 202518 Jul 2025

Publication series

Name2025 16th International Conference on Mechanical and Aerospace Engineering, ICMAE 2025

Conference

Conference16th International Conference on Mechanical and Aerospace Engineering, ICMAE 2025
Country/TerritoryItaly
CityRome
Period15/07/2518/07/25

Keywords

  • TBCC powered vehicle
  • pseudospectral method
  • trajectory optimization ,mode transition point

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