3D Approach Trajectory Optimization Based on Combined Intelligence Algorithms

Nowadays, with the global warmth spread all around the world, thunderstorms, tsunami, turbulence and other natural disaster weather frequently occur around us, these kind of weather can cause hazardous disaster to aviation, especially thunderstorms, for example, when aircraft flight during approach segment, it will be very dangerous if the thunderstorm appears. This research adopt two intelligence algorithms, the Rapidly-Exploring Random Tree (RRT) algorithm combined with Artificial Potential Field (APF) method to design the trajectory of approaching aircraft. At first, this algorithm can guide the aircraft fly from start point to the destination, by the meanwhile, the trajectory can avoid the thunderstorms, finally, the result shows that the trajectory of aircraft simulated can evade moving thunderstorm smoothly, and the profile trajectory meet the approach procedure standard, it is proved that the algorithm is of great value in aviation industry.