Simplified Model of the Propulsion System for a Pvtol With a Disturbance and Estimate of Power Efficiency

Abstract

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

A New Spike Membership Function for the Recognition and Processing of Spatiotemporal Spike Patterns: Syllable-Based Speech Recognition Application

“…For future work, it is proposed to identify the corresponding axonal delays with the FAN and its application in control [29,30,35], unmanned aerial vehicles (UAV) [34,42], and modeling of seismic events [31], among other areas of knowledge [5,[43][44][45][46][47][48][49][50][51][52][53][54].…”