Morphing Waverider Geometries at High-Speed and their Control

将使用计算流体动力学技术进行研究，以确定不同流场中车辆的最佳设计。将在高速风洞中对缩尺模型进行实验检查，以确定空气动力学和流动特性。将开发机器学习能力，以实现表面几何形状的实时变形，并允许车辆在更广泛的飞行条件下运行。将研究这种影响，并推导出主动和动态控制算法，以克服流动不稳定性问题

Research will be conducted using Computational Fluid Dynamics techniques to determine optimal designs for the vehicle in different flow fields. A scale model will be examined experimentally in a high-speed wind tunnel to determine aerodynamic and flow characteristics. Machine learning capabilities will be developed to enable real-time morphing of the surface geometry and allow the vehicle to operate in a wider range of flight conditions. The effect of this will be investigated and active and dynamic control algorithms will be derived to overcome flow instability issues