Control para la navegación pre-programada de trayectorias de un vehículo aéreo no tripulado (UAV) aplicado a la supervisión y transmisión en línea de la calidad del aire.

Abstract

A control algorithm that allows pre-programed navigation for tracking trajectories of unmanned aerial vehicles (UAVs) to perform monitoring and online transmission of air quality was designed. The proposed control strategy validates the autonomous flight of a pre-programed trajectory experimentally applied from a kinematic model. Intelligent sensors are integrated into UAV that allow the collection of information on air quality. This monitors climatic variables and gaseous pollutants from the environment present in a given path. The design allows to incorporate new sensors to identify levels of gases and other pollutants in critical areas. Sensors built into the Arduino NANO development board with the UAV from the electronic monitoring system that communicates by radio frequency remote ground station at a maximum unhindered distance of 2 km and a 5VDC power. Through virtual monitoring platform developed in the GUIDE Matlab2015a software is received in real-time as a string of ASCII characters, measurements obtained by the sensors of temperature, humidity, carbon monoxide, ozone, nitrogen dioxide and dioxide sulfur, which stored and can generate a report for the information of gaseous pollutants recorded. It is found that the system does not incorporate measurement error and room temperature and relative humidity measured with accuracy ±2 °C and ±5% RH and levels of polluting gases CO, CO2, NO2 and Ozone. Values that fit the intended design for this research. Expand the number of variables to monitor air quality that the UAVSCCA has as Micro-particles PM-10, Micro-particles PM-2.5, alcohol, chlorine, hydrogen sulfide.