TY - GEN
T1 - Novel aeroassisted orbital transfer optimal guidance algorithm for reentry vehicle
AU - Guo, Tao
AU - Liu, Dawei
AU - Xia, Qunli
PY - 2010
Y1 - 2010
N2 - A new optimal guidance algorithm for aeroassisted orbital transfer of reentry vehicle is presented. The complex aeroassisted orbital transfer guidance problem is translated into a trajectory optimization problem which is solved with optimal control theory. Based on the simplified dynamic equations, the Hamilton function and adjoint state equation for optimization is built. Sequentially, the problem is simplified with judicious selection of control variables and steering law, and all the constraints must be met. The accuracy under dispersed flight environment is enhanced with the use of c1oseloop real-time computation in the algorithm. The efficiency and faster convergence of the optimal algorithm is established through simulations, and the advantage of this arithmetic is validated in simulation. Thus, it is helpful to use this algorithm to solve the practical engineering trajectory optimization problems with complicated models. The proposed guidance algorithm is fairly generic and independent missions as well as vehicle configurations.
AB - A new optimal guidance algorithm for aeroassisted orbital transfer of reentry vehicle is presented. The complex aeroassisted orbital transfer guidance problem is translated into a trajectory optimization problem which is solved with optimal control theory. Based on the simplified dynamic equations, the Hamilton function and adjoint state equation for optimization is built. Sequentially, the problem is simplified with judicious selection of control variables and steering law, and all the constraints must be met. The accuracy under dispersed flight environment is enhanced with the use of c1oseloop real-time computation in the algorithm. The efficiency and faster convergence of the optimal algorithm is established through simulations, and the advantage of this arithmetic is validated in simulation. Thus, it is helpful to use this algorithm to solve the practical engineering trajectory optimization problems with complicated models. The proposed guidance algorithm is fairly generic and independent missions as well as vehicle configurations.
KW - Aeroassisted orbital transfer
KW - Guidance algorithm
KW - Optimal control
KW - Reentry vehicle
KW - Trajectory optimization
UR - http://www.scopus.com/inward/record.url?scp=78149314616&partnerID=8YFLogxK
U2 - 10.1109/ICACTE.2010.5578951
DO - 10.1109/ICACTE.2010.5578951
M3 - Conference contribution
AN - SCOPUS:78149314616
SN - 9781424465408
T3 - ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
SP - V1567-V1571
BT - ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
T2 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010
Y2 - 20 August 2010 through 22 August 2010
ER -