Purpose

Fault detection, isolation and reconfiguration of the flight control system is an important problem to obtain healthy flight. This paper aims to propose an integrated approach for aircraft fault-tolerant control.

Design/methodology/approach

The integrated structure includes a Kalman filter to obtain without noise, a full order observer for sensor fault detection, a GOS (generalized observer scheme) for sensor fault isolation and a fuzzy controller to reconfigure of the healthy sensor. This combination is simulated using the state space model of a lateral flight control system in case of disturbance and under sensor fault scenario.

Findings

Using a dedicated observer scheme, the detection and time of sensor fault are correct, but the sensor fault isolation is evaluated incorrectly while the faulty sensor is isolated correctly using GOS. The simulation results show that the suggested approach works affectively for sensor faults with disturbance.

Originality/value

This paper proposes an integrated approach for aircraft fault-tolerant control. Under this framework, three units are designed, one is Kalman filter for filtering and the other is GOS for sensor fault isolation and another is fuzzy logic for reconfiguration. An integrated approach is sensitive to faults that have disturbances. The simulation results show the proposed integrated approach can be used for any linear system.

中文翻译：

---

基于观测器和模糊逻辑的飞行控制系统容错集成设计

目的

飞行控制系统的故障检测、隔离和重构是获得健康飞行的重要问题。本文旨在提出一种用于飞机容错控制的集成方法。

设计/方法/方法

集成结构包括用于获得无噪声的卡尔曼滤波器、用于传感器故障检测的全阶观测器、用于传感器故障隔离的 GOS（广义观测器方案）和用于重新配置健康传感器的模糊控制器。这种组合使用横向飞行控制系统的状态空间模型在干扰和传感器故障情况下进行模拟。

发现

使用专用的观测器方案，传感器故障的检测和时间是正确的，但是当使用GOS正确隔离故障传感器时，传感器故障隔离评估不正确。仿真结果表明，所建议的方法对有干扰的传感器故障有效。

原创性/价值

本文提出了一种用于飞机容错控制的集成方法。在此框架下设计了三个单元，一个是用于滤波的卡尔曼滤波器，一个是用于传感器故障隔离的GOS，另一个是用于重新配置的模糊逻辑。综合方法对有干扰的故障很敏感。仿真结果表明，所提出的集成方法可用于任何线性系统。