基于遗传算法的无人机飞控边缘性能评估建模方法研究  

Edge Performance Evaluation and Modeling Method of UAV Flight Control Capability Based on Genetic Algorithm

作　　者：唐勇[1,2] 徐天宁 马健成 曹敬帅 唐世兴 王涛 TANG Yong;XU Tianning;MA Jiancheng;CAO Jingshuai;TANG Shixing;WANG Tao(School of Civil Aviation,Northwestern Polytechnical University,Xi'an 710073,China;Unmanned Aerial System Co.,Ltd.,Aviation Industry Corporation of China(Chengdu),Chengdu 610097,China;School of Intelligent Systems Engineering,Sun Yat-sen University,Shenzhen 518027,China;Guangdong Southern Marine Science and Engineering Laboratory(Zhuhai),Zhuhai 519000,China)

机构地区：[1]西北工业大学民航学院,西安710073 [2]中航(成都)无人机系统股份有限公司,成都610097 [3]中山大学智能工程学院,广东深圳518027 [4]广东省南方海洋科学与工程实验室,广东珠海519000

出　　处：《计算机测量与控制》2024年第12期236-243,共8页Computer Measurement &Control

基　　金：四川省科技计划资助(2024NSFTD0046)。

摘　　要：针对物理试验下固定翼无人机飞控能力评估效率低、成本高且存在安全风险的问题,开展了基于边缘性能评估的无人机飞行仿真测试和飞控能力评估方法研究;建立了无人机运动仿真模型和仿真环境,并结合遗传算法搭建了飞行管理系统需求测试环境,实现了飞行系统批量测试用例生成,针对性提出了固定翼无人机俯仰姿态稳定性的测试判据和边缘性能评估方法;开展基于ROSflight的仿真试验,通过大量飞行测试,获取了飞机的飞行安全边缘,实现了无人机俯仰姿态飞控边缘能力分析评估;为无人机飞控系统设计预先发现缺陷提供重要技术支撑。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 unmanned aerial vehicle(UAV)motion were established,and a flight management system requirement testing environment was built using genetic algorithm.Batch test cases for the flight system were generated,and targeted testing criteria and edge performance evaluation methods for the stability of pitch attitude of fixed wing UAVs were proposed.Conducted simulation experiments based on ROSflight,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.

关 键 词：固定翼无人机 飞控能力评估 边缘性能评估 遗传算法 仿真建模 

分 类 号：V279[航空宇航科学与技术—飞行器设计]