小型无人机总体参数对动态滑翔能力的影响

Dynamic soaring is a technology used to improve the endurance performance of small unmanned aerial vehicles (UAVs) by utilizing wind energy. The research on the influence of small UAVs' overall parameters on its soaring ability can reduce the energy consumption of UAVs during soaring. In this paper, a dynamic soaring trajectory optimization model of small UAVs is established based on the Runge-Kutta integration method. Considering the solution characteristics of trajectory recursive algorithms, further simplification is implemented to effectively reduce the number of variables and constraints in the optimization design. The Runge-Kutta integration optimization model is used to study the influence of some of the aircraft parameters on the dynamic soaring ability. The study results show that the improved Runge-Kutta integration optimization model can realize the objective of dynamic soaring trajectory optimization. Moreover, aircrafts with less weight, small wing load, large-enough maximum lift coefficient, and appropriate aspect ratio have a good dynamic soaring ability, and a large power law exponent provides a relatively favorable wind field for dynamic soaring.