Dynamic Path Planning Model for Intelligent Air Vehicle

With the gradual popularization of the application of intelligent air vehicle in various fields, the problems related to its application are becoming a hot research topic increasingly. Rapid path planning in complex environment is an important topic of intelligent air vehicle control. Because of the limitation of the system structure, the positioning system of this kind of air vehicle cannot locate itself accurately. Once the positioning error accumulates to a certain extent, it may lead to the failure of the mission. Therefore, it is an important task to correct the positioning error in the flight path planning of intelligent air vehicle. This paper makes a deep study on the problem of flight path planning. By simplifying the three-dimensional space problem into a two-dimensional plane geometry problem, the optimization mathematical model is established by using the dynamic decision optimization method, and the problem of how to plan the optimal flight path by using the known space correction points is analyzed in detail, which provides some enlightenment for optimizing the flight path, improving the flight success rate and improving the performance of the air vehicle.