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基于故障发生程度的四旋翼无人机故障诊断

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针对四旋翼无人机执行机构的部分失效故障诊断问题,构建了四旋翼无人机的单通道简化系统状态空间模型,分析了传统增强状态Kalman滤波器的算法流程和不足之处,提出了多阶段联合故障观测器对偏差系数以及系统原始状态量进行准确估计.仿真实验表明:多阶段联合故障观测器可以准确估计出不同工况下的故障系数,同时获取系统补偿偏差之后的原始真实状态量,展现了多阶段联合故障观测器在解决四旋翼无人机的故障诊断问题上的优越性.
Fault diagnosis of quadrotor UAV based on fault occurrence degree
Aiming at the problem of partial failure diagnosis of the actuator of the quadrotor UAV,a single-channel simplified system state space model of the quadrotor UAV is constructed.The algorithm flow and shortcomings of the traditional en-hanced state Kalman filter are analyzed,and a multi-stage joint fault observer is proposed to accurately estimate the devia-tion coefficient and the original state quantity of the system.The simulation results show that the multi-stage joint fault ob-server can accurately estimate the fault coefficients under different working conditions,and obtain the original real state quantity after the system compensation deviation.It can be seen that the multi-stage joint fault observer has advantages in solving the problem of fault diagnosis of the quadrotor UAV.

quadrotor UAVfault diagnosismulti-stage fault joint observerKalman

戴凌宇、程赟、冯张棋、汪小利

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南通职业大学,江苏 南通 226000

南通大学 电气工程学院,江苏 南通 226000

江苏大学 汽车工程研究院,江苏 镇江 212000

四旋翼无人机 故障诊断 多阶段故障联合观测器 Kalman

南通职业大学2022年校级项目

22ZK09

2024

现代机械
贵州省机电研究设计院,贵州省机械工程学会

现代机械

影响因子:0.172
ISSN:1002-6886
年,卷(期):2024.(4)
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