Research on Dynamic 4D Self-adaptive Trajectory Planning in Thunderstorms

Aiming at the impact of thunderstorms on safety and economy during Aircraft navigation, a dynamic 4D self-adaptive trajectory planning in thunderstorm weather is proposed. First, the three-dimensional coordinate parameter equation related to the time variable is introduced to build the dynamic thunderstorm weather. Then, a model of aircraft motion state is constructed based on the kinematics principle, and the trajectory is simulated by sampling the velocity in a velocity space that conforms to aircraft performance and flight safety requirements. Finally, algorithm calculates the distance between the aircraft and thunderstorm clouds in complex environments, the flight angle, and other indicators, and the entropy weight is calculated, and screened to obtain the optimal trajectory in thunderstorm weather scenes. The experimental results show that the algorithm has planned safe flight path while meeting the requirements of aircraft performance, avoiding the impact of thunderstorms on the aircraft. The reliability and superiority of the model have been verified.