Trajectory optimisation and analysis for hypersonic vehicle

Chen Hongbo and Li Yongyuan

International Journal of Service and Computing Oriented Manufacturing, 2016, vol. 2, issue 2, 179-188

Abstract: According to the disadvantages of indirect method for trajectory optimisation, that initial value the for conjugate variables are highly sensitive and cannot obtain the global optimal solution, this paper introduced hybrid genetic algorithm to search initial value of conjugate variables, solved equations to obtain the track of hypersonic vehicle at unpowered gliding phase. In the optimisation process, the author takes the constraints of heating rate, dynamic pressure and overload into consideration, and optimises the trajectory of under different initial factors. Numerical simulations confirm the applicability of the presented algorithm. Considering practical applications, some typical hypersonic vehicle gliding trajectory are optimised. The discussion of the numerical simulations gives some valuable opinions in practical applications.

Keywords: trajectory optimisation; hybrid genetic algorithms; hypersonic vehicles; unpowered gliding; heating rate; dynamic pressure; overload; numerical simulation; gliding trajectories; gradient method; reentry vehicles; mathematical modelling. (search for similar items in EconPapers)
Date: 2016
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