Abstract
On the basis of the dynamic tracking control of quadrotor UAV, combined with the dynamic characteristics analysis and automatic detection of UAV flight targets, the stability and accuracy of dynamic tracking control of UAV are improved, and the design method of dynamic tracking control system of UAV based on Arm-Linux embedded platform is proposed. Using machine learning method and acceleration feedback method, the target object model of quadrotor UAV dynamic tracking control is established, the quantitative characteristic parameters of quadrotor UAV dynamic tracking control are analyzed, the hardware processing platform of UAV dynamic tracking control system is established under Arm-Linux embedded platform by adopting dynamic feedback adjustment and ambiguity detection, and the nested saturation control method is adopted in the target visual distribution of tracking control objects. Combined with video image feature detection method, the visual feature detection model of quadrotor UAV dynamic tracking control is established. Based on normal visual guidance image and anti-interference design of dynamic tracking control, the dynamic tracking control of quadrotor UAV is realized and the system design is completed. Simulation results show that this method has good stability and strong visual tracking ability for UAV dynamic tracking control, which improves the dynamic stability and balance of UAV.
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