TY - GEN
T1 - Optimization of Hypersonic Aircraft Fuel Thermal Management System Based on LQI-PSO
AU - Wang, Zhaoxiong
AU - Yao, Yu
AU - Li, Yunhua
AU - Yang, Liman
AU - Zhang, Qiyuan
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper addresses the challenges faced by the fuel thermal management system of hypersonic aircraft via a hybrid optimization strategy. The strategy aims to ensure that the fuel thermal management system meets heat dissipation requirements under different operating conditions. Establish four flow path first for the system. And then design optimal operating conditions for different flow paths and determine their boundary conditions. Third, determine flow paths according to different operating conditions, design the LQI-PSO algorithm, and optimize the system. The simulation shows that LQI-PSO optimization strategy significantly improves the stability of the fuel thermal management system. and the steady-state tracking error of the supply pipe fuel temperature is 0.6%, while the steady-state tracking error of the fuel temperature at the heat exchanger outlet is 1.69%.
AB - This paper addresses the challenges faced by the fuel thermal management system of hypersonic aircraft via a hybrid optimization strategy. The strategy aims to ensure that the fuel thermal management system meets heat dissipation requirements under different operating conditions. Establish four flow path first for the system. And then design optimal operating conditions for different flow paths and determine their boundary conditions. Third, determine flow paths according to different operating conditions, design the LQI-PSO algorithm, and optimize the system. The simulation shows that LQI-PSO optimization strategy significantly improves the stability of the fuel thermal management system. and the steady-state tracking error of the supply pipe fuel temperature is 0.6%, while the steady-state tracking error of the fuel temperature at the heat exchanger outlet is 1.69%.
KW - Fuel system thermal management
KW - Hypersonic aircraft
KW - Linear quadratic integral
KW - Particle Swarm Optimization
UR - https://www.scopus.com/pages/publications/105018744158
U2 - 10.1109/AIM64088.2025.11175761
DO - 10.1109/AIM64088.2025.11175761
M3 - 会议稿件
AN - SCOPUS:105018744158
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
BT - 2025 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2025
Y2 - 14 July 2025 through 18 July 2025
ER -