Unmanned aerial vehicle flight control method and control system

Abstract

The invention discloses an unmanned aerial vehicle flight control method and an unmanned aerial vehicle control system. The method includes the following steps that: a control command is received, and the location information and flight attitude parameter of an unmanned aerial vehicle are acquired, and flight attitude information can be obtained according to the location information and the flight attitude parameter; aerial photography data are acquired, and the flight attitude information and the aerial photography data of the unmanned aerial vehicle are outputted according to the control command; a remote sensing command is sent out according to the flight attitude information and the aerial photography data of the unmanned aerial vehicle; the remote sensing command is received and analyzed; and a flight control command used for controlling the operation of the drivers of the unmanned aerial vehicle is formed according to the analyzed remote sensing command, and the flight attitude information of the unmanned aerial vehicle, so that the flight direction and flight speed of the unmanned aerial vehicle can be controlled. With the above technical schemes of the invention adopted, simplicity, security and real-time performance of data exchange can be improved.

Description

technical field [0001] The invention relates to unmanned aerial vehicle technology, in particular to an unmanned aerial vehicle flight control method and control system. Background technique [0002] With more and more UAV manufacturers, cost competition among various manufacturers has been put on the agenda, and it is particularly important to adopt new technologies to improve the overall performance of UAVs. Since the UAV flight control system needs to be based on embedded real-time software and hardware, the system resources are limited, and more functions cannot be expanded. If a CPU with abundant resources is used, it must be equipped with a time-sharing system to manage many resources reasonably. However, the real-time performance of the elements required by the flight control system cannot be guaranteed, and the performance of the flight control system is greatly affected. [0003] At present, most UAV solutions use multiple processors to complete their respective fu...

AI Technical Summary

Problems solved by technology

Since the UAV flight control system needs to be based on embedded real-time software and hardware, the system resources are limited, and more functions cannot be expanded. If a CPU with abundant resources is used, it must be equipped with a time-sharing system to manage many resources reasonably. However, the real-time performance of the elements required by the flight control system cannot be guaranteed, and the performance of the flight control system is greatly affected

[0003] At present, most UAV solutions use multiple processors to complete their respective functions, such as flight control processors, camera processors, and gimbal processors. Standard communication interfaces are provided between each processor, so that Although it is possible to exchange data, it requires a lot of communication protocols and a lot of software writing work. At the same time, data communication is easily disturbed by the outside world, and the timeliness of data is also limited.

Images