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An Online Fault Diagnosis Method For Actuators Of Quadrotor UAV With Novel Configuration Based On IMM

机译:基于IMM的新型配置的四桥UAV执行器的在线故障诊断方法

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This paper studies the problem of actuator fault of a new type of quadrotor UAV with high payload and energy utilization efficiency. When the UAV is performing tasks in a complex and dangerous environment, it is extremely prone to damage to the actuator structure, which will reduce the efficiency of the actuator, resulting in loss of control or even a crash. Quadrotor UAV is a non-linear strong coupling system and there are many rotor actuators, so the fault situation is complex. In the paper, based on the idea of IMM, establishes a typical fault model set and monitors each rotor actuator fault situation online through multiple Kalman filters based on fault models. Firstly, considering the redundancy of the power unit, combined with the characteristics of the model of the new configuration quadrotor UAV to detect and locate the fault, then calculate the weight coefficient and model matching rate of each fault model, and finally perform weighted fusion and estimate the efficiency parameters of the fault actuator. The simulation is carried out using the PID controller. The results show that the method can quickly detect and locate the fault of a single actuator about the new quadrotor UAV, and can estimate the efficiency parameters of the rotor actuator after the fault.
机译:本文研究了具有高有效载荷和能量利用效率的新型四轮车UAV的执行器故障问题。当UAV在复杂且危险的环境中执行任务时,致动器结构的损坏极其容易损坏,这将降低致动器的效率,导致控制损失甚至崩溃。四元电动机是一个非线性强耦合系统,有许多转子执行器,因此故障情况很复杂。本文基于IMM的思想,通过多个Kalman滤波器基于故障模型在线建立一个典型的故障模型集,并通过多个卡尔曼滤波器在线监视每个转子执行器故障情况。首先,考虑到电源单元的冗余,结合新配置四桥UAV的模型的特性来检测和定位故障,然后计算每个故障模型的权重系数和模型匹配率,最后执行加权融合和估计故障执行器的效率参数。使用PID控制器执行模拟。结果表明,该方法可以快速检测和定位关于新的四元电路机的单个执行器的故障,并且可以在故障后估算转子执行器的效率参数。

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