Drones are increasingly technologically present in many sectors: they are also able to cover, at a low price, all the roles that were previously covered by satellites in low orbit (LEO). Their serendipity is remarkable and well known to all: the only limit is the continuous need to keep the weight low in order to have a good operative range. To do this it is necessary to move part of the electronic hardware, from the flying platform to the ground, providing the aircraft with only the necessary data, relieving it of the burden of calculation. This paper provides a basic calculation for Takagi-Sugeno fuzzy logic control of a simplified ABS of an UAV in order to increase the effect of the brakes.
Petritoli, E.R., Leccese, F., Cagnetti, M. (2019). Takagi-Sugeno Discrete Fuzzy Modeling: An IoT Controlled ABS for UAV. In 2019 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 - Proceedings (pp.191-195). Institute of Electrical and Electronics Engineers Inc. [10.1109/METROI4.2019.8792915].
Takagi-Sugeno Discrete Fuzzy Modeling: An IoT Controlled ABS for UAV
Leccese F.
;Cagnetti M.
2019-01-01
Abstract
Drones are increasingly technologically present in many sectors: they are also able to cover, at a low price, all the roles that were previously covered by satellites in low orbit (LEO). Their serendipity is remarkable and well known to all: the only limit is the continuous need to keep the weight low in order to have a good operative range. To do this it is necessary to move part of the electronic hardware, from the flying platform to the ground, providing the aircraft with only the necessary data, relieving it of the burden of calculation. This paper provides a basic calculation for Takagi-Sugeno fuzzy logic control of a simplified ABS of an UAV in order to increase the effect of the brakes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
