Avionic air data sensors fault detection and isolation by means of singular perturbation and geometric approach

none3noTHIS ARTICLE BELONGS TO THE SPECIAL ISSUE " MODELS, SYSTEMS AND APPLICATIONS FOR SENSORS IN CYBER PHYSICAL SYSTEMS " http://www.mdpi.com/journal/sensors/special_issues/sensors_cyber_physical_systems Sensors (ISSN 1424-8220; CODEN: SENSC9) is the leading international, peer-reviewed, open access journal on the science and technology of sensors and biosensors. Sensors is published monthly online by MDPI. Indexed by SCOPUS, the Science Citation Index Expanded (Web of Science), MEDLINE (PubMed), Ei Compendex, Inspec (IET) and other databases. Impact Factor: 2.677 (2016) ; 5-Year Impact Factor: 2.964 (2016).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.openCastaldi, Paolo; Mimmo, Nicola*; Simani, SilvioCastaldi, Paolo; Mimmo, Nicola*; Simani, Silvi