Design of the System for Measuring UAV Parameters

Novotňák, Jozef; Fiľko, Martin; Lipovský, Pavol; Šmelko, Miroslav

doi:10.3390/drones6080213

Cited by 8 publications

(7 citation statements)

References 52 publications

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“…Due to the fact that we have a measurement system [23] at our disposal that can measure UAV parameters (total thrust and thrusts of individual motors), we do not need to create a model of control and propulsion systems, and it is sufficient to create a model of the dynamics of the quadcopter. An important aspect when modeling a quadcopter is determining its parameters.…”

Section: Modeling Of Quadcopter Characteristicsmentioning

confidence: 99%

“…The tuning of PID controllers can also be done based on static laboratory measurements using a simple mathematical model of UAV dynamics, provided we can tell exactly what thrust each UAV motor is producing. This can be determined using a system for measuring UAV parameters, which we addressed in our previous research [23]. The essence of this system is tensometric sensors that sense the forces acting from the motors and a rod structure that is designed so that the distribution of force from individual UAV motors to all sensors is uniform.…”

Section: Introductionmentioning

confidence: 99%

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Quadcopter Modeling Using a System for UAV Parameters Measurement

Novotňák,

Szőke,

Kašper

et al. 2024

Drones

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This article deals with quadcopter modeling using a system for the measurement of unmanned aerial vehicle (UAV) parameters. UAVs are often equipped with various measurement devices and equipment for measurement, which significantly affects their weight. The currently available technical solutions and inventions do not allow corrections to be made to the on-board control electronics settings without the need to perform a test flight, or without the need to create complex and time-consuming mathematical models of the unmanned aerial vehicle; therefore, it is desirable to create a new method for modeling the characteristics of an UAV based on static laboratory measurements. The goal of this paper is to create a dynamic model of a quadcopter that will be adapted to a system for measuring UAV parameters, specifically the thrust of individual motors, which will be the next step to creating a new method for modeling UAV characteristics. This method can be used in the future for tuning flight control algorithms, based on static laboratory measurements.

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Section: Modeling Of Quadcopter Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quadcopter Modeling Using a System for UAV Parameters Measurement

Novotňák,

Szőke,

Kašper

et al. 2024

Drones

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“…The results of the project are multidisciplinary by combining knowledge from various fields such as engineering [9], transport systems [10], sensorics [11], modeling and simulations [12], electrical engineering, electronics, engineering, information technologies [13], cloud technologies [14] and communication technologies.…”

Section: Project Movir -Mobile Sensory Systemmentioning

confidence: 99%

Modeling the Area of Interest for a Mobile Sensory System

Szabó¹,

Galanda²,

Muszka³

2023

Preprint

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Autonomous electronic area, territory, or space protection is getting more important. One of the areas of application of the system is to monitor the quarantine zones created during epidemics. The idea to create a system of mobile sensory units for defending quarantine zones was born during one of the phases of the Covid epidemic in 2020. The paper contains a brief technical description of a mobile sensor units and their network. This network surrounds an area of interest. The work includes a mathematical and data model of the protected area. In addition, the paper presents a method for distributing mobile sensor units in areas of interest.

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“…The results of the project are multidisciplinary by combining knowledge from various fields such as engineering [14], transport systems [15], sensorics [16], modeling and simulations [17], electrical engineering, electronics, engineering, information technologies [18], cloud technologies [19] and communication technologies.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Area of Interest for a Mobile Sensory System

2023

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We live in the age of the 4th industrial revolution. The leading technologies of this revolution are Cloud computing, Big Data and the Internet of Things (IoT). The vast majority of IoT technologies are characterized by the fact that we collect data with the help of sensors using the Internet. The project MOVIR also implements such an IoT technology. The main goal of the project was the development of a sensor unit. Such sensor units form a network that protects a specific area. This network forms an autonomous electronic area or space protection system. To create this network, we need to define the place we want to protect and the placement of sensor units within this area. Our work is about the mathematical and digital definition of such an area and the placement of sensor units. One of our articles on air traffic control gave the idea of digital modeling the protected area. Here we define the area of interest using significant points. Points are given using GPS coordinates. With the help of a spatial coordinate system, these significant points and a projection, we define a coordinate system to define and model our protected area and the network of sensor units. Here, a digital raster terrain model where significant points are located is required as input data. The digital model of area is defined using a matrix whose elements indicate the height of points in space. The row and column indices of the matrix determine the details of the area. We can use several height layers to describe different obstacles. The accuracy of this theoretical mathematical terrain model depends on the description and details of the accuracy of the terrain. The mathematical model of the area of interest is a 3D polygon. The network of sensor units model is also a 3D polygon located within the area of interest.

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Design of the System for Measuring UAV Parameters

Cited by 8 publications

References 52 publications

Quadcopter Modeling Using a System for UAV Parameters Measurement

Quadcopter Modeling Using a System for UAV Parameters Measurement

Modeling the Area of Interest for a Mobile Sensory System

Modeling the Area of Interest for a Mobile Sensory System

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