Research On Key Technologies Of Anti-terrorism And Anti-riot UAV

With the rapid development of global artificial intelligence technology,UAV have begun to develop in the direction of intelligence and specialization,and have demonstrated their unique advantages in intelligent inspections,high-rise fire fighting,anti-terrorism riot and so on.Most of the traditional UAVs are used in ground observation,environmental monitoring and other areas.Due to the lack of intelligent autonomous operation capability,it is unable to meet the growing demand for aerial operations,which limits the application range of UAVs.According to the actual needs of anti-terrorism applications,this thesis has carried out related research work on the key technical problems of anti-terrorism.This article designs the completely mechanical structure,grab device and electrical circuit system of anti-terrorism UAV.Adopting the "bird-claw" structure and designing the gripping device,the device has the ability to grasp irregular objects,ensuring that the grasped things are not easy to fall off.The parameters of the parts of the antiterrorism and anti-riot UAV are evaluated to meet the processing standards.The voltage conversion circuit of low-power consumption is designed to realize the integration of UAV circuit system.In order to improve the flight stability of the UAV,based on the existing PID control algorithm,by introducing the fuzzy control theory,the fuzzy PID control of multi-rotor drive motor are designed.At the same time,in view of the problems of low accuracy,large noise and poor stability of single attitude sensor used by multi rotor UAV,The UAV gyro array system and its data fusion system are proposed.A multi-level,multi-level and multi-faceted attitude system is formed by means of gyro array,using domain search and BP network hybrid method to data fusion of multi-information sources,forming an algorithm for data fusion of multi-pose system of UAV,compared with single attitude data,the algorithm improves the support significantly,and increases the stability of UAV flight and air operation.In the UAV vision system,the target matching method of coding has designed based on memory.It will reduce the running time of the algorithm.At the same time,based on Canny and GrabCut,an adaptive window-based target-tracking algorithm is proposed in UAV's dynamic view.The UAV can track the target accurately from the dynamic perspective;the recognition-tracking algorithm significantly improves the accuracy and real-time performance of the existing UAV tracking algorithm,and provides reliable visual information for the next step of the UAV autonomous capture.Based on the research and analysis of the traditional robot coordinate system,this paper establishes the basic grabbing UAV coordinate system.By introducing binocular vision and image processing technology,the multi-rotor based on active vision and binocular vision in the air robot coordinate system is designed.The average grasping error of the proposed method is 5.9cm in the actual grasping experiment of UAV.The anti-terrorism drone and related technology algorithms designed in this paper promote the development of the drone industry to a certain extent.Finally,the article elaborates on the full text,makes a related outlook on its subsequent research and development,puts forward some problems that are difficult to solve in a short time,and hopes to get more experts' guidance.