摘要
Abstract This paper presents the novel use of the particle swarm optimization （PSO） to generate the end-to-end trajectory for hypersonic reentry vehicles in a quite simple formulation. The velocity- dependent bank angle profile is developed to reduce the search space of unknown parameters based on the constrained PSO algorithm. The path constraints are enforced by setting the fitness function to be infinite on condition that the particles violate the maximum allowable values. The PSO algo- rithm also provides a much easier means to satisfy the terminal conditions by adding penalty terms to the fitness function. Furthermore, the approximate reentry landing footprint is fast constructed by incorporating an interpolation model into the standardized bank angle profiles. Numerical sim ulations demonstrate that the PSO method is a feasible and flexible tool to generate the end-to-end trajectory and landing footprint for hypersonic reentry vehicles.
Abstract This paper presents the novel use of the particle swarm optimization （PSO） to generate the end-to-end trajectory for hypersonic reentry vehicles in a quite simple formulation. The velocity- dependent bank angle profile is developed to reduce the search space of unknown parameters based on the constrained PSO algorithm. The path constraints are enforced by setting the fitness function to be infinite on condition that the particles violate the maximum allowable values. The PSO algo- rithm also provides a much easier means to satisfy the terminal conditions by adding penalty terms to the fitness function. Furthermore, the approximate reentry landing footprint is fast constructed by incorporating an interpolation model into the standardized bank angle profiles. Numerical sim ulations demonstrate that the PSO method is a feasible and flexible tool to generate the end-to-end trajectory and landing footprint for hypersonic reentry vehicles.
基金
co-supported by the National Natural Science Foundation of China(Nos.61273349,61203223)
the Innovation Foundation of BUAA for Ph D Graduates(No.YWF-14-YJSY-013)
作者简介
Zhao Jiang received his B.S. and M.S. degrees from Northwestern Polytechnical University, Xi＇an, China. He is currently a Ph.D. can- didate in guidance, navigation and control from Beihang University, Beijing, China. His area of expertise includes advanced flight control and guidance, as well as cooperative control for multivehicte systems.Zhou Rui received his Ph.D. degree from Harbin Institute of Technology, Harbin, China. He is currently a professor and Ph.D. supervisor in guidance, navigation, and control from Beihang University, Beijing, China. His area of expertise includes advanced flight control and guidance, as well as cooperative control for multi- vehicle systems.
