Creation of a Rotor-Type UAV with Flight Controllers, Based On a ATmega2560 and STM32f405 Microprocessors

Lienkov, Serhii

doi:10.30534/ijeter/2020/104882020

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…The motors used are Powerday X2212-13 980 KV brushless motors and a Simon K 30 A ESC for Quad-X Drone. [55]. The set is powered by an OVONIC Lipo 3s battery of 3000 mAh and 50 C. The various components used for the assembly of the developed drone are presented in figure 4.…”

Section: Unmanned Aerial Vehicle Developmentmentioning

confidence: 99%

Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Taamté,

Noube,

Signing

et al. 2024

J. Inst.

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This article deals with the development of real-time air quality monitoring based on Unmanned Aerial Vehicles (UAVs) and low-cost Internet of Things (IoT) devices. This investigation aims to design and develop an UAV-based platform that can monitor a large number of air pollutants in real-time with high spatial and temporal resolution. The proposed environmental monitoring system consists of five main elements, namely the UAV, sensors, data storage module, programmable card, and IoT communication module. Estimated pollutants such as particulate matter (PM2.5) and toxic gases (carbon monoxide CO, nitrogen dioxide NO2, and carbon dioxide CO2) are detected by low-cost sensors. The ZigBee wireless protocol is used for communication between the PC and UAV. This work is carried out to assess the air quality in urban areas, given the heavy road traffic and the emissions of some companies. The data analyzed were collected from December 2, 2022 to January 3, 2023, in two major cities of Cameroon, Douala and Kribi. The periodic average values of the detected pollutants are 222 ± 22 μg/m3 and 85.7 ± 8.6 μg/m3 for PM2.5, 560.8 ± 1.0 ppm and 555.6 ± 1.0 ppm for CO2, 4.2 ± 0.2 ppm and 0.7 ± 0.1 ppm for NO2, and 27.6 ± 2.8 ppm and 4.5 ± 0.5 ppm for CO in Douala and Kribi respectively. This made it possible to have an air quality index (AQI) of 444.2 for Douala City and 171.3 for Kribi City. These high values indicate poor air quality during the measurement period.

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Section: Unmanned Aerial Vehicle Developmentmentioning

confidence: 99%

Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Taamté,

Noube,

Signing

et al. 2024

J. Inst.

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“…Fig. 3 The quadcopter firmware for Pixhawk 2 Cube Next, the frame type is selected and the accelerometer, compass, and control equipment are calibrated [18]. The flight modes are set.…”

Section: Fig 1 the Motor Characteristics X11mentioning

confidence: 99%

Large-Capacity Quadcopter’s Designing on the Controllers of the Pixhawk Cube Family

Myasischev¹,

Lienkov²,

Ovcharuk³

et al. 2022

CSW MIKNU

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The quadrocopter’s design and configuration that capable to carry a payload of up to 30 kg based on the Pixhawk 2 Cube flight controller using Arducopter ver.4.1.5 firmware for FMUv3 devices was completed in the paper. For ensuring a flight range of 10-12 km, the using of 44000 mAh battery and payload of 10-15 kg is recommended. It has been established that when building large-sized copters, before setting up the PID controller, it’s necessary to pre-configure the parameters that are used by the PID controller. The failure to do so will often cause the aircraft to crash on its first flight. These are motor thrust linearization parameters, acceleration values for different axes and filters that go to the input of the PID controller. Experimentally tested the stability of the quadrocopter’s flight in windy weather in navigation modes for firmware Arducopter ver.4.1.5. At wind speeds up to 10 m/s with gusts up to 14-15 m/s, the flight stability was noted in automatic mode and in automatic return to the starting point mode. The high accuracy of the operation of the Ardupilot firmware navigation system was established when the cargo drop point was reached in automatic mode. The error was no more than 1.0-1.5 m at wind speed of 6-7 m/s. The effectiveness of mechanical vibration isolation for flight controllers of the Pixhawk Cube family has been experimentally established. When installing them on the frame of the copter, there is no need to use mechanical vibration decoupling. However, taking into account the low frequency of the frame oscillations from the operation of the propeller group (about 30 Hz), it’s necessary to design the frame with the frequency of natural oscillations outside this range. The using of software dynamic notch filters to reduce the impact of vibrations from running motors on the readings of the accelerometer and gyroscope is considered. On the frame of 2000 mm quadrocopter, it’s shown that such filters significantly reduce the amplitude of not only the detected fundamental frequency, but also their harmonics. The various ways of setting up actuators controlled by servos and relays for dropping loads, switching operating modes by video systems, switching on and off spraying mechanisms when using such drones in agriculture are considered.

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“…They can be used for terrain research, rescue operations, in the work of fire services, military intelligence. Of particular interest are the vehicles with a fixed wing (the flying wing, the airplane) [2], that are more energetically economical compared to the quadrocopters and hexacopters [6,7], they fly over a greater distance with a higher speed. Therefore, with the same battery capacity and flight weight, they can explore an area 2-3 times larger in size, than the rotary-type UAV (quadcopter).…”

Section: Introductionmentioning

confidence: 99%

“…The INAV 2.5 [9] configurator is installed on the computer to change the microcontroller firmware parameters. The firmware is software for the microcontroller that uses mathematical models such as PID controllers [7,10], Kalman filter, complementary filter, dynamic Notch filter, Matrix Filter [11], etc. To ensure stable UAV flight, When the specified flight modes are fulfilled, the firmware is adjusted by selecting parameters that depend on the geometry of the aircraft, the installed propulsion system, sensors, speed parameters, and flight trajectory [7,10].…”

Section: Introductionmentioning

confidence: 99%

Construction of an Aircraft-Type UAV for Flight Along a Given Trajectory in the Automatic Mode

2020

IJETER

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A budget (up to $100) unmanned aerial vehicle (UAV) of an aircraft type based on the OMNIBUSF4V3 flight controller with an STM32F405 microcontroller is developed in the article. The created aircraft performs the following flight modes: the holding altitude and position, the automatic return to the takeoff point on command from the control panel or in case of loss of communication with it, the automatic flight along a given trajectory. The possibility of the flying along the points of the designed aircraft with the firmware INAV ver.2.5.0 without using a barometer and magnetometer, that are necessary for the rotary UAV to perform a similar task, is shown. Using the Blackbox INAV 2.5.0 toolkit and the Google Earth Pro service, the real flight path of the aircraft, speed parameters, and flight altitude according to the readings of the GPS receiver were established. The heights and speeds of the aircraft passing the flight points have been experimentally determined. Their close correspondence was established to those values, that were programmatically entered into the aircraft flight controller before launch. The correspondence was established between the real flight path of the aircraft and the one entered into the flight controller using the configurator. The constructed aircraft can be used to perform photo and video surveys of the terrain in automatic mode with the route length of 6-8 km, using a lithium polymer battery with a capacity of 1800-2200 mAh.

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Creation of a Rotor-Type UAV with Flight Controllers, Based On a ATmega2560 and STM32f405 Microprocessors

Cited by 7 publications

References 5 publications

Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

Large-Capacity Quadcopter’s Designing on the Controllers of the Pixhawk Cube Family

Construction of an Aircraft-Type UAV for Flight Along a Given Trajectory in the Automatic Mode

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