摘要
无人机自动着陆过程受环境因素影响较大,为了提高无人机在复杂条件下的着陆精度,增强无人机环境适应性,针对某无人机精确着陆要求,分析了无人机着陆误差较大的主要原因,给出了改进措施,分别验证了陡下滑段自动配平和浅下滑段动力补偿的控制效果。最后采用蒙特卡罗方法对各种不确定性下的着陆进行仿真验证,仿真结果表明,改进后的着陆方案能够有效地减小无人机着陆误差,提高无人机着陆精度。
The landing precision of an Unmanned Aerial Vehicles （ UAVs） is influenced seriously by the complexity of the environment.In this article,we focus on the accuracy landing of UAV,and analyze the main factors that bring in errors.Some methods were given for improving the performance and environmental adaptability of UAVs in landing process.Simulation was made with Monte Carlo method to examine the suita-bility of these control methods under different sort of uncertainties.The results show that the improved con-trol method can reduce the deviation of landing points,and increase the landing precision.
出处
《电光与控制》
北大核心
2014年第11期62-65,99,共5页
Electronics Optics & Control
基金
中央高校基本科研业务费专项资金(NZ2012008)
关键词
无人机
着陆
飞行控制
Unmanned Aerial Vehicle （UAV）
landing
flight control
