Industry 4.0 is making inroads even into the field of aerospace, which is extremely conservative due to the safety concerns involved with the introduction of new technology. We used fuzzy logic to create a very reliable simplification and reduce the complexity of the critical longitudinal stability equations for a flying wing drone. Our approximate method allowed us to have a very light calculation effort at the price of a negligible error in terms of the size and dynamics of the craft, thus reducing the work required by the telecommunication segment that manages the takeoff and landing manoeuvres.
Petritoli, E., Leccese, F. (2020). Precise takagi-sugeno fuzzy logic system for UAV longitudinal stability: An Industry 4.0 case study for aerospace. ACTA IMEKO, 9(4), 106-113 [10.21014/acta_imeko.v9i4.723].
Precise takagi-sugeno fuzzy logic system for UAV longitudinal stability: An Industry 4.0 case study for aerospace
Petritoli E.;Leccese F.
2020-01-01
Abstract
Industry 4.0 is making inroads even into the field of aerospace, which is extremely conservative due to the safety concerns involved with the introduction of new technology. We used fuzzy logic to create a very reliable simplification and reduce the complexity of the critical longitudinal stability equations for a flying wing drone. Our approximate method allowed us to have a very light calculation effort at the price of a negligible error in terms of the size and dynamics of the craft, thus reducing the work required by the telecommunication segment that manages the takeoff and landing manoeuvres.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
