TY - GEN
T1 - In-flight Longitudinal Guidance for RLV in TAEM Phase
AU - Pengfei, Fan
AU - Fan, Wang
AU - Yonghua, Fan
AU - Jie, Yan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - A longitudinal predictor-corrector guidance algorithm based on online generated dynamic pressure profile without integral deduction and aerodynamic identification is researched for reusable launch vehicle in terminal area energy management phase. The algorithm predicts the range-to-go of the vehicle through the current energy state and the dynamic pressure profile parameter by inquiring the off-line calculated data table, the error of the range-to-go caused by the model deviation is considered in-fight based on the measured flight status information. Ground track range is calculated by ground track parameters. The dynamic pressure profile parameter is updated online due to the error between ground track range and range-to-go, which enables the vehicle to arrive at the approach and landing interface with high precision. The simulation results show that the method improves the efficiency of online trajectory prediction, insensitive to the dispersal of the initial position, and has strong adaptability to model deviation.
AB - A longitudinal predictor-corrector guidance algorithm based on online generated dynamic pressure profile without integral deduction and aerodynamic identification is researched for reusable launch vehicle in terminal area energy management phase. The algorithm predicts the range-to-go of the vehicle through the current energy state and the dynamic pressure profile parameter by inquiring the off-line calculated data table, the error of the range-to-go caused by the model deviation is considered in-fight based on the measured flight status information. Ground track range is calculated by ground track parameters. The dynamic pressure profile parameter is updated online due to the error between ground track range and range-to-go, which enables the vehicle to arrive at the approach and landing interface with high precision. The simulation results show that the method improves the efficiency of online trajectory prediction, insensitive to the dispersal of the initial position, and has strong adaptability to model deviation.
KW - in-flight trajectory generation
KW - predictor-corrector guidance
KW - reusable launch vehicle
KW - terminal area energy management
UR - http://www.scopus.com/inward/record.url?scp=85068654771&partnerID=8YFLogxK
U2 - 10.1109/CCSSE.2018.8724848
DO - 10.1109/CCSSE.2018.8724848
M3 - 会议稿件
AN - SCOPUS:85068654771
T3 - 2018 IEEE 4th International Conference on Control Science and Systems Engineering, ICCSSE 2018
SP - 296
EP - 303
BT - 2018 IEEE 4th International Conference on Control Science and Systems Engineering, ICCSSE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Control Science and Systems Engineering, ICCSSE 2018
Y2 - 21 August 2018 through 23 August 2018
ER -