Research on Intelligent UAV Communication Control System Based on Computer Optoelectronic Communication

A uniaxial optical probe is used to correct the longitudinal deviation of the Angle of view. A method for correction of side deviation of visual field during course adjustment of unmanned aircraft is proposed. A PID control method based on fuzzy neural network is proposed. The mathematical model of unmanned aircraft with six degrees of freedom is established. A new type of high-precision flight platform is designed. For the uncertain external parameters of the camera, a method based on video sequence is proposed. The attitude measurement of PTZ camera is completed. This method can ensure that the target is always in the image center position of the camera when tracking the target. Through computer simulation and real machine test, it is proved that the designed controller has better dynamic performance under strong interference conditions. This method can solve the coupling problem between the attitude channels of UAVs and achieve better control effect.