Automatic Driving and Control Technology of Unmanned Aerial Vehicle with High Precision Positioning System

Abstract:
With the continuous development of UAV technology, UAV needs to automatically collect and process the surrounding environmental data and information, and fly to the set target point or interest point independently. In the future, the flight intelligence level of UAV will be higher and higher. Based on the control technology of UAV autopilot and high-precision positioning system, the basic principle and function of UAV autopilot are discussed, the controller of high-precision positioning system is analyzed, the positioning model PIO algorithm is proposed, and the positioning errors of PIO, PSO and ABC algorithms are compared, as well as the comparison between airport tracking algorithm and UAV cooperative dawsn algorithm. The results show that under the same number of iterations, the accuracy of PIO algorithm is basically better than the other two algorithms. When the error probability is less than 0.7, the PIO algorithm proposed in this paper has good positioning accuracy. When p is 0, mlcrf algorithm adopts UAV cooperative positioning. In the process of crossing the network area, the broadcast position distribution of UAV is more uniform, which can improve the positioning accuracy. Therefore, when the error is low, the positioning error is relatively large. Therefore, compared with the other two algorithms, PIO algorithm can obtain better positioning accuracy.