Edge Performance Evaluation and Modeling Method of UAV Flight Control Capability Based on Genetic Algorithm
Aiming at the problems of low efficiency,high cost,and safety risks in evaluating the flight control capability of fixed wing unmanned aerial vehicles(UAVs)under physical experiments,research has been conducted on UAV flight simulation testing and flight control capability evaluation methods based on edge performance evaluation.A simulation model and environment for un-manned aerial vehicle(UAV)motion were established,and a flight management system requirement testing environment was built u-sing genetic algorithm.Batch test cases for the flight system were generated,and targeted testing criteria and edge performance evalu-ation methods for the stability of pitch attitude of fixed wing UAVs were proposed.Conducted simulation experiments based on ROS-flight,obtained the flight safety edge of the aircraft through a large number of flight tests,and achieved the analysis and evaluation of the pitch attitude flight control edge capability of the drone.Providing important technical support for the prediscovery of defects in the design of unmanned aerial vehicle flight control systems.
fixed-wing dronesflight control capability evaluationedge performance evaluationgenetic algorithmsimulation modeling
万方数据
维普
