TY - GEN
T1 - Intelligent optimization of RLV pre-final phase trajectory
AU - Wang, Rui
AU - Li, Qingdong
AU - Ren, Zhang
AU - Liang, Zixuan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - Reusable launch vehicle (RLV) trajectory optimization of terminal area energy management (TAEM) phase is a multiple constrained optimal control problem. In order to achieve the RLV auto-landing window requirements, a new intelligent optimization method based on the flight corridor formed from altitude versus acceleration plane for RLV pre-final phase is presented. This research establishes three-degree-of-freedom (3DOF) point-mass dynamics of RLV based on optimal control theory. By considering the initial constraints, terminal constraints and path constraints etc., the guidance law is derived by using improved genetic algorithm (GA) in flight corridor with assuming the bank angle is zero. To test the capacity of the new intelligent guidance law, simulation data of different terminal conditions are compared. Simulation results indicate that the new intelligent guidance law satisfies specified constraints. The results reflect strong robustness and precision.
AB - Reusable launch vehicle (RLV) trajectory optimization of terminal area energy management (TAEM) phase is a multiple constrained optimal control problem. In order to achieve the RLV auto-landing window requirements, a new intelligent optimization method based on the flight corridor formed from altitude versus acceleration plane for RLV pre-final phase is presented. This research establishes three-degree-of-freedom (3DOF) point-mass dynamics of RLV based on optimal control theory. By considering the initial constraints, terminal constraints and path constraints etc., the guidance law is derived by using improved genetic algorithm (GA) in flight corridor with assuming the bank angle is zero. To test the capacity of the new intelligent guidance law, simulation data of different terminal conditions are compared. Simulation results indicate that the new intelligent guidance law satisfies specified constraints. The results reflect strong robustness and precision.
UR - http://www.scopus.com/inward/record.url?scp=84922572034&partnerID=8YFLogxK
U2 - 10.1109/CGNCC.2014.7007329
DO - 10.1109/CGNCC.2014.7007329
M3 - Conference contribution
AN - SCOPUS:84922572034
T3 - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
SP - 900
EP - 904
BT - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Y2 - 8 August 2014 through 10 August 2014
ER -
