Abstract
Singular Perturbations represent an advantageous theory to deal with systems characterized by a two-time scale separation, such as the longitudinal dynamics of aircraft which are called phugoid and short period. In this work, the combination of the NonLinear Geometric Approach and the Singular Perturbations leads to an innovative Fault Detection and Isolation system dedicated to the isolation of faults affecting the air data system of a general aviation aircraft. The isolation capabilities, obtained by means of the approach proposed in this work, allow for the solution of a fault isolation problem otherwise not solvable by means of standard geometric techniques. Extensive Monte-Carlo simulations, exploiting a high fidelity aircraft simulator, show the effectiveness of the proposed Fault Detection and Isolation system.
Highlights
Current manned and unmanned aircraft implement autopilots ranging from simple stability augmentation systems to complex navigation systems
The importance and relevance of Air Data Sensor Fault Detection and Isolation (FDI) has been highlighted by the European project (ADDSAFE, Advanced Fault Diagnosis for Sustainable Flight Guidance and Control) which was focused on the study of this problem [25]
Euler angles describes the attitude of the aircraft; Aerodynamics: The NASA reference [40] graphically reports the aerodynamic coefficients of lift L, drag D and pitch momentum M which are functions of the angle of attack α and the thrust coefficient T/(qd S)
Summary
Current manned and unmanned aircraft implement autopilots ranging from simple stability augmentation systems to complex navigation systems. This work shows that this kind of strategy allows for the solution of the fault isolation problem, for general aviation aircraft affected by faults on air data sensors, not otherwise solvable with the standard NLGA approach, see [31,34]. The literature presents some remarkable works dealing with the detection and the isolation of faults affecting aircraft air data such as [1,2,3,10,13,17,20,21,35] in which the detection filters are base on full order unknown input re-constructors. This paper focuses on the reduction of dimensions of the unisolable fault set and, thanks to the innovative combined use of the SP and the NLGA, allows for the isolation of the angle of attack faults, otherwise not possible, by means of reduced order detection filters.
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