An enhanced LPV-model based identification approach of oscillatory failure cases

Abstract

The reliable early detection of oscillatory failure cases (OFC) for modern fly-by-wire controlled civil aircraft is an important aspect in optimizing the structural design objectives for reducing the environmental footprint of the aircraft. We propose a complete methodology for the design of a model based fault detection and diagnosis (FDD) system, which allows the reliable early detection of OFC characterized by low amplitude oscillations in a given frequency range. The main factors for the achieved enhanced performance are: the accurate modelling of the surface actuator via linear parameter-varying (LPV) models, an improved oscillation detection by employing the recursive discrete Fourier transform, and the integrated tuning of the free parameters of the FDD system using multi-objective optimization techniques.