Artificial bee colony–based direct collocation for reentry trajectory optimization of hypersonic vehicle

2015 ◽  
Vol 51 (1) ◽  
pp. 615-626 ◽  
Author(s):  
Haibin Duan ◽  
Shuangtian Li
Keyword(s):  
Trajectory Optimization ◽  
Artificial Bee Colony ◽  
Hypersonic Vehicle ◽  
Bee Colony ◽  
Direct Collocation ◽  
Reentry Trajectory ◽  
Reentry Trajectory Optimization

scholarly journals Online Reentry Trajectory Optimization Using Modified Sequential Convex Programming for Hypersonic Vehicle

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 23511-23525
Author(s):  
Pei Pei ◽  
Shipeng Fan ◽  
Wei Wang ◽  
Defu Lin
Keyword(s):  
Convex Programming ◽  
Trajectory Optimization ◽  
Hypersonic Vehicle ◽  
Sequential Convex Programming ◽  
Reentry Trajectory ◽  
Reentry Trajectory Optimization

Time-optimal memetic whale optimization algorithm for hypersonic vehicle reentry trajectory optimization with no-fly zones

2018 ◽  
Vol 32 (7) ◽  
pp. 2735-2749 ◽  
Author(s):  
Huiping Zhang ◽  
Honglun Wang ◽  
Na Li ◽  
Yue Yu ◽  
Zikang Su ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Trajectory Optimization ◽  
Hypersonic Vehicle ◽  
Whale Optimization Algorithm ◽  
Whale Optimization ◽  
Time Optimal ◽  
Reentry Trajectory ◽  
Reentry Trajectory Optimization

Reentry Trajectory Optimization and Simulation of Hypersonic Vehicle with Maximum Cross Range Based on GPM

2014 ◽  
Vol 635-637 ◽  
pp. 1431-1437
Author(s):  
Wu Jun Huo ◽  
Xu Liu ◽  
Li Wang ◽  
Chao Song
Keyword(s):  
Trajectory Optimization ◽  
Optimization Problem ◽  
Control Variable ◽  
Pseudospectral Method ◽  
Hypersonic Vehicle ◽  
State Variables ◽  
Hypersonic Aircraft ◽  
Gauss Pseudospectral Method ◽  
Reentry Trajectory ◽  
Reentry Trajectory Optimization

Abstract：The application of Gauss pseudospectral method (GPM) to hypersonic aircraft reentry trajectory optimization problem with maximum cross range was introduced. The Gauss pseudospectral method was used to solve the reentry trajectory of the hypersonic vehicle with the maximum cross range. Firstly, the model of hypersonic aircraft reentry trajectory optimization control problem was established. Taking no account of course constraint, the maximum cross range was chosen as optimal performance index, and angle of attack and bank was chosen as control variable. Terminal state was constrained by position and velocity. Then GPM was applied to change trajectory optimization problem into nonlinear programming problem (NLP), and the state variables and control variables were selected as optimal parameters at all Gauss nodes. At last, optimal reentry trajectory was solved by solving the NLP with the help of SNOPT. The simulation results indicate that GPM does not need to estimate the initial cost variable, and it is not sensitive to the initial states and effective to solve trajectory optimization problem.

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