DYNA JOURNAL ENGINEERING

Key words:

Propulsion system model, PVTOL, Arduino, experimental data, fuzzy adaptive neurons, power efficiency, Modelo del sistema de propulsión, DAVP, Arduino, datos experimentales, neuronas difusas adaptativas, NDA, eficiencia de la potencia

Article type:

COLABORACION/COLLABORATION DAMR

Section:

COLLABORATIONS

This paper proposes a simplified model of the propulsion system of the Planar Vertical Take-Off and Landing (DAVP) with a disturbance to achieve a DAVP, based on experimental data of voltage and angular velocity to perform the estimation of forces, moments, angular velocity of rotors and current, to analyze the system power efficiency results. The DAVP experimental data are acquired with an Arduino® board at Matlab®/Simulink. The block diagram of the system and the simulation and experimental results obtained showed the effectiveness of the proposed model for estimating variables.

Keywords: Propulsion system model, DAVP, Arduino, experimental data, fuzzy adaptive neurons, FAN, power efficiency