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首页> 外文期刊>Journal of aerospace engineering >Active Fault-Tolerant Control of UAV Dynamics against Sensor-Actuator Failures
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Active Fault-Tolerant Control of UAV Dynamics against Sensor-Actuator Failures

机译:针对传感器执行器故障的无人机动态主动容错控制

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In this paper, an active fault-tolerant flight control system against sensor/actuator failures for unmanned aerial vehicles (UAVs) is proposed. First, an approach to detecting and isolating UAV sensor failures affecting the mean of the Kalman filter (KF) innovation sequence is proposed. Second, an adaptive two-stage linear Kalman filtering algorithm is used to isolate the sensor and actuator faults and to estimate the loss of control effectiveness and the magnitude of degree of stuck faults in a UAV model. Control effectiveness factors and stuck magnitudes are used to quantify the faults entering the UAV flight control system through actuators. In the case of a sensor fault, the faulty sensor is isolated, and the KF that ignores the feedback from the faulty sensor is built. If the fault is an actuator fault, then the actuator fault isolation and identification are performed using the adaptive two-stage KF. The parameters of the feedback controller are tuned by the control reconfiguration procedure. In the simulations, the longitudinal and lateral dynamics of the UAV model is considered, and the detection and isolation of sensor failures are examined. Some simulation results for the actuator fault isolation and identification are given. Partial loss and stuck faults in actuators are considered. A design of reconfigurable flight control against sensor/actuator failures is implemented.
机译:本文提出了一种针对无人机的传感器/执行器故障的主动容错飞行控制系统。首先,提出了一种检测和隔离影响卡尔曼滤波器(KF)创新序列平均值的无人机传感器故障的方法。其次,采用自适应两阶段线性卡尔曼滤波算法来隔离传感器和执行器故障,并估计UAV模型中控制有效性的损失和卡住故障的程度。控制有效性因子和滞留量用于量化通过执行器进入无人机飞行控制系统的故障。在传感器发生故障的情况下,将故障传感器隔离开来,并建立忽略故障传感器反馈的KF。如果故障是执行器故障,则使用自适应两级KF进行执行器故障隔离和识别。反馈控制器的参数通过控制重新配置过程进行调整。在仿真中,考虑了无人机模型的纵向和横向动力学,并检查了传感器故障的检测和隔离。给出了执行器故障隔离与识别的一些仿真结果。考虑执行器的部分损失和卡住故障。实现了针对传感器/执行器故障的可重构飞行控制设计。

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