Aircraft actuator fault detection and isolation using piecewise constant fault estimation scheme
Aircraft actuator fault detection and isolation using piecewise constant fault estimation scheme
复制标题
DOI：
10.2514/6.2016-0373
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Hanmin Lee;Steven Snyder;Andrew Patterson;N. Hovakimyan
中科院分区：
文献类型：
--
作者：
Hanmin Lee;Steven Snyder;Andrew Patterson;N. Hovakimyan
提出了一种基于模型的飞机舵机故障检测与隔离方法。所提出的方法是基于多个线性化模型，近似的非线性动力学的飞机，并允许不确定性。在本文中，线性化执行器故障模型的介绍和Luenberger观测器的修改与分段常数更新法的鲁棒故障估计。为了识别执行器故障，故障识别算法建议使用的估计故障信息从观测器。仿真结果表明，所提出的方法在运输类飞机模型的性能。
This paper presents a model-based method for fault detection and isolation of actuator damage and failure on an aircraft. The proposed method is based on multiple linearized models that approximate the nonlinear dynamics of the aircraft and allow for uncertainty. In this paper, linearized actuator fault models are introduced and a Luenberger observer is modified with a piecewise constant update law for robust fault estimation. For the purposes of identifying actuator faults, a fault identification algorithm is suggested using the estimated fault information from the observer. Simulation results demonstrate the performance of the proposed method in models of a transport class aircraft.