TY - GEN
T1 - Trajectory Optimization and Guidance Strategy for TBCC Powered Vehicles Considering Mode Transition Point
AU - Gou, Zhiqing
AU - Chen, Wanchun
AU - Yang, Liang
N1 - Publisher Copyright:
©2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - TBCC powered vehicle
KW - pseudospectral method
KW - trajectory optimization ,mode transition point
UR - https://www.scopus.com/pages/publications/105030449594
U2 - 10.1109/ICMAE66341.2025.11277048
DO - 10.1109/ICMAE66341.2025.11277048
M3 - 会议稿件
AN - SCOPUS:105030449594
T3 - 2025 16th International Conference on Mechanical and Aerospace Engineering, ICMAE 2025
SP - 253
EP - 258
BT - 2025 16th International Conference on Mechanical and Aerospace Engineering, ICMAE 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Mechanical and Aerospace Engineering, ICMAE 2025
Y2 - 15 July 2025 through 18 July 2025
ER -