沿临近空间机动弹道的扰动引力重构模型优化

Optimization of Reconstruction Model for Gravity Anomaly along Glide Trajectory

以高超声速滑翔飞行器滑翔段弹道为研究对象,针对沿弹道的扰动引力快速计算问题,提出一种基于延拓逼近理论的扰动引力快速重构方法。基于多岛遗传算法,建立了重构模型的优化算法。在求解优化问题过程中,为降低计算规模,基于最优拉丁超立方试验设计方法和径向基神经网络构建了原始重构模型的代理模型。仿真结果表明,所提重构方法可适应机动飞行下的复杂环境,在满足弹载计算机存储量要求的前提下可有效地提高弹道精度。

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.