Title :
Boost phase trajectory optimization for hypersonic vehicle based on GPM
Author :
Song, Chao ; Zhao, Guorong ; Zhi, Yue
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
In order to minimum the time-to-climb of hypersonic vehicle, the trajectory of hypersonic vehicle boost segment is studied. The optimal control model of boost trajectory is analyzed, and Gauss pseudospectral Method (GPM) is applied to discretize the optimal problem into nonlinear programming problem (NLP). Finally, Matlab software package SNOPT is used to solve the NLP problem. Numerical simulations show that the trajectory derived by this method is not sensitive to initial conditions and fairly good in real-time property.
Keywords :
Gaussian processes; aircraft; missiles; nonlinear programming; numerical analysis; optimal control; position control; Gauss pseudospectral Method; Matlab software package SNOPT; boost phase trajectory optimization; hypersonic vehicle; nonlinear programming problem; numerical simulations; optimal control; Aircraft; Atmospheric modeling; Biological system modeling; Equations; Mathematical model; Optimization; Trajectory; Gauss Pseudospectral Method; NLP; SNOPT; time-to-climb; trajectory optimization;
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
DOI :
10.1109/ICCRD.2011.5763877
