Purpose

This paper aims to focus on the sensor fault-tolerant control (FTC) for civil aircraft under exterior disturbance.

Design/methodology/approach

First, a three-step cubature Kalman filter (TSCKF) is designed to detect and isolate the sensor fault and to reconstruct the sensor signal. Meanwhile, a nonlinear disturbance observer (NDO) is designed for disturbance estimation. The NDO and the TSCKF are combined together and an NDO-TSCKF is proposed to solve the problem of sensor faults and bounded disturbances simultaneously. Furthermore, an FTC scheme is designed based on the nonlinear dynamic inversion (NDI) and the NDO-TSCKF.

Findings

The method is verified by a Cessna 172 aircraft model under bias gyro fault and constant angular rate disturbance. The proposed NDO-TSCKF has the ability of signal reconstruction and disturbance estimation. The proposed FTC scheme is also able to solve the sensor fault and disturbance simultaneously.

Research limitations/implications

NDO-TSCKF is the novel algorithm used in sensor signal reconstruction for aircraft. Then, disturbance observer-based FTC can improve the flight control system performances when the system with faults.

Practical implications

The NDO-TSCKF-based FTC scheme can be used to solve the sensor fault and exterior disturbance in flight control. For example, the bias gyro fault with constant angular rate disturbance of a civil aircraft is studied.

Social implications

Signal reconstruction for critical sensor faults and disturbance observer-based FTC for civil aircraft are useful in modern civil aircraft design and development.

Originality/value

This is the research paper studies on the signal reconstruction and FTC scheme for civil aircraft. The proposed NDO-TSCKF is better than the current reconstruction filter because the failed sensor signal can be reconstructed under disturbances. This control scheme has a better fault-tolerant capability for sensor faults and bounded disturbances than using regular NDI control.

中文翻译：

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基于信号重构和干扰观测器的民用飞机容错控制

目的

本文旨在研究民用飞机在外部干扰下的传感器容错控制（FTC）。

设计/方法/方法

首先，设计了三步容积卡尔曼滤波器 (TSCKF) 来检测和隔离传感器故障并重建传感器信号。同时，非线性扰动观测器（NDO）被设计用于扰动估计。将 NDO 和 TSCKF 结合在一起，提出了 NDO-TSCKF 来同时解决传感器故障和有界干扰的问题。此外，基于非线性动态反演（NDI）和NDO-TSCKF设计了FTC方案。

发现

该方法在偏置陀螺故障和恒定角速率扰动下的Cessna 172飞机模型上得到了验证。所提出的 NDO-TSCKF 具有信号重建和扰动估计的能力。所提出的 FTC 方案还能够同时解决传感器故障和干扰。

研究限制/影响

NDO-TSCKF 是一种用于飞机传感器信号重建的新算法。然后，当系统出现故障时，基于干扰观测器的 FTC 可以提高飞行控制系统的性能。

实际影响

基于 NDO-TSCKF 的 FTC 方案可用于解决飞行控制中的传感器故障和外部干扰。例如，对民用飞机恒角速率扰动的偏置陀螺故障进行了研究。

社会影响

民用飞机关键传感器故障的信号重建和基于干扰观测器的 FTC 在现代民用飞机的设计和开发中非常有用。

原创性/价值

这是民用飞机信号重建和FTC方案的研究论文。所提出的 NDO-TSCKF 优于当前的重建滤波器，因为失效的传感器信号可以在干扰下重建。与使用常规 NDI 控制相比，这种控制方案对传感器故障和有界干扰具有更好的容错能力。