At present,in the process of UAV operation,the module that can autonomously control the flight according to the preset destination information needs to preset complex constraints under the condition of multiple optimal schemes,otherwise there will be a problem of non convergence in the optimization process,leading to poor control effect.Aiming at this problem,the improved design of UAV track autonomous control module is studied.The design can collect the position,speed and other flight information of the UAV,and upload them to the module hardware of the flight master.The software can plan and obtain the optimal track point for subsequent flight under the conditions of meeting the flight constraints and threat constraints of the UAV.In order to ensure the shortest flight distance and minimum altitude of UAV,the problem of autonomous control of UAV track is turned into an optimization problem.In the face of multiple optimal solutions,a UAV path selection model based on the Whale Algorithm is constructed.With the goal of minimizing the cost of UAV flight path,the Whale Algorithm is used to solve the UAV path autonomous control scheme and complete the software design.The ex-perimental results show that after using the designed module,the UAV can control its flight path independently and success-fully avoid static threats and dynamic threats to fly to the destination safely.
UAVtrack autonomous control modulewhale algorithmconstraintsnon convergenceselect modelroute planning
万方数据
维普
