This paper introduces the application of C8051F040 single-chip microcomputer in the distributed automatic detection system of unmanned aerial vehicles. The distributed automatic detection system studied is based on the CAN bus network, supplemented by corresponding hardware and software design, to achieve simultaneous detection of multiple unmanned aerial vehicles. The overall structure of the system is described, focusing on the hardware design of the data acquisition and control processing module based on the C8051F040 single-chip microcomputer and the software design of the system, and the correctness and feasibility of the system design are verified through actual tests. Unmanned aerial vehicles can complete many tasks that are difficult for manned aircraft to complete, so they have been widely used in the military field. With the rapid expansion of unmanned aerial vehicle functions, the number of onboard electronic equipment of unmanned aerial vehicles is increasing, and the system is becoming more and more complex. In order to improve the reliability and accuracy of unmanned aerial vehicle missions, it is necessary to conduct comprehensive detection of unmanned aerial vehicles in all directions before takeoff. The application background of the distributed detection system studied in this paper is a ground comprehensive detection system for rapid field detection, parameter setting and route data setting of a certain type of unmanned aerial vehicle. Modern UAV systems have complex structures and numerous detection parameters. If traditional detection equipment and manual control methods are used, there are the following shortcomings: (1) The detection time is long and only one UAV can be detected at a time; (2) It is greatly affected by human factors, and fault judgment and location are overly dependent on the experience of the detection personnel; (3) It is highly specialized and has poor expansion capabilities. Therefore, simultaneous and rapid detection of multiple UAVs is the key to solving the above problems. Based on the CAN bus network, we use a distributed structure to design a distributed automatic detection system to achieve automatic detection of batches of UAVs (10 to 30). This paper focuses on the design and implementation of the data acquisition and control processing modules of the distributed detection system, and verifies the correctness and feasibility of the design through experiments.
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