Optimization of Reconstruction Model for Gravity Anomaly along Glide Trajectory

被引:0
|
作者
Zhou H. [1 ]
Ding Z.-J. [2 ]
Zheng W. [3 ]
机构
[1] Institute of System Engineering, China Academy of Engineering Physics, Mianyang, 621999, Sichuan
[2] China Aerodynamics Research and Development Center, Mianyang, 621000, Sichuan
[3] College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, 410073, Hunan
来源
Binggong Xuebao/Acta Armamentarii | 2018年 / 39卷 / 12期
关键词
Agent model; Extension approximation; Glide trajectory; Gravity anomaly; Multi-island genetic algorithm;
D O I
10.3969/j.issn.1000-1093.2018.12.011
中图分类号
学科分类号
摘要
A fast computation scheme and its reconstruction model for the gravity anomaly along glide trajectories of a hypersonic vehicle are initially proposed. An optimization algorithm for the reconstruction model based on multi-island genetic algorithm is developed. To reduce the computational scale of optimization, an agent model is established based on the optimal Latin hypercube method and radial basis function (RBF) neural networks. Simulations indicate that the proposed reconstruction model possesses enough adaptability for the multiple case of involving several no-fly zones. Considering the capability limitation of onboard computer, the trajectory precision can be enhanced effectively by employing this model. Based on the proposed optimization algorithm, the model with a lightest memory burden on the trajectory precision requirement and the model with a highest trajectory precision on the memory size requirement are both achieved. © 2018, Editorial Board of Acta Armamentarii. All right reserved.
引用
收藏
页码:2371 / 2379
页数:8
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