Research On Ground Control System Of Fixed-Wing UAV

Fixed-wing UAVs are widely used in many fields such as reconnaissance and inspection.Most of the processes before take-off and after landing of UAVs are transported to designated positions by cranes and other devices.This method is very complex.Therefore,a control method is sought to remotely control the movement of UAVs on the deck.At present,remote control technology has well developed.It is a relatively scheme and has been feasibly applied to the control of shipborne unmanned aerial vehicles.There are many remote control methods.The traditional remote control is realized through handles and keys,which has the characteristics of sensitive operation,safety and reliability.New remote control methods such as gesture control have the characteristics of simple operation and good human-computer interaction.In this paper,a wearable remote controller is designed to realize the remote control of unmanned aerial vehicles aiming at t he remote control of shipborne unmanned aerial vehicles.At the same time,a scheme of gesture remote control unmanned aerial vehicles is proposed.This paper first analyzes various remote control technologies,determines the main structure and functions of wearable remote control system and gesture remote control system,uses wearable remote control system to control unmanned aerial vehicle by means of handle and key to realize high precision control such as speed regulation and steering,and realizes basic operation of unmanned aerial vehicle by means of gesture remote control.Then,according to the requirements of remote control realized by UAV,a wearable remote control system is designed,and the software and hardware structure of the system are described in detail.The remote controller realizes the collection of multi-channel remote control signals through strawberry pie control,then carries out data processing and coding,and sends the data to the UAV receiver through wireless signals.At the same time,the remote controller can read and display the control parameters and parameters returned by the UAV on the LCD screen.For the gesture remote control system,analyze the command gesture of the drone,and a gesture recognition method based on optical markers is proposed.LED lights are placed at the joints of command personnel,then light spots are extracted as characteristic gestures,and then training and recognition are carried out through convolution neural network algorithm.In the end,This paper analyzes several common convolution neural network models,improves them based on Lenet-5,establishes the corresponding aircraft carrier gesture database,inputs the database into the network for training,continuously adjusts the parameters of the network to adapt to the database,and then inputs the data into the model for testing,which verifies the rationality of the proposed method and the feasibility of the technology.