FDIR Strategy for Sensor Faults During Re-entry Flight

Gianfranco Morani,Mariangela Di Lorenzo

doi:10.3844/ajeassp.2018.455.470

Abstract

In this study, a Fault Detection, Isolation and Reconfiguration (FDIR) strategy is proposed for dealing with the problem of single sensor faults during a re-entry flight. The proposed algorithms rely on a model based Fault Detection and Isolation. After the generation of a residual through a Kalman filter observer, detection is obtained via the estimation of residual signal statistics while isolation is obtained thorough the analysis of either residual vector direction or the residual covariance matrix, depending on which fault type has been detected. Finally, for some failure conditions, an adaptive reconfiguration strategy of the control laws is also developed. The effectiveness of the FDIR strategy has been shown through numerical simulations of single fault scenarios.

Highlights

The problem of detecting a fault, finding the location and taking appropriate actions is the basis of Fault Tolerant Control (FTC)
The model used for the analysis has been developed in a Matlab/Simulink® environment and it includes 6Dof equations of FTB-3 flight dynamics, Guidance, Navigation and Control algorithms, navigation sensors, actuators and Reaction Control System
Proposed Fault Detection and Isolation (FDI) algorithms have been evaluated with respect to some fault scenarios concerning both accelerometers and gyroscopes

Summary

Introduction

The problem of detecting a fault, finding the location and taking appropriate actions is the basis of Fault Tolerant Control (FTC). In case a bias fault is detected, isolation is obtained by means of a maximum likelihood strategy based on the direction of residual vector. If the loss of accuracy fault is detected, isolation is obtained through the analysis of the residual covariance matrix, as it will be explained .

Results

Conclusion