Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems - PubMed (original) (raw)
Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems
Mihai-Alin Stamate et al. Sensors (Basel). 2023.
Abstract
Today, there is a conspicuous upward trend for the development of unmanned aerial vehicles (UAVs), especially in the field of multirotor drones. Their advantages over fixed-wing aircrafts are that they can hover, which allows their usage in a wide range of remote surveillance applications: industrial, strategic, governmental, public and homeland security. Moreover, because the component market for this type of vehicles is in continuous growth, new concepts have emerged to improve the stability and reliability of the multicopters, but efficient solutions with reduced costs are still expected. This work is focused on hexacopter UAV tests carried out on an original platform both within laboratory and on unrestricted open areas during the start-stop manoeuvres of the motors to verify the operational parameters, hover flight, the drone stability and reliability, as well as the aerodynamics and robustness at different wind speeds. The flight parameters extracted from the sensor systems' comprising accelerometers, gyroscopes, magnetometers, barometers, GPS antenna and EO/IR cameras were analysed, and adjustments were performed accordingly, when needed. An FEM simulation approach allowed an additional decision support platform that expanded the experiments in the virtual environment. Finally, practical conclusions were drawn to enhance the hexacopter UAV stability, reliability and manoeuvrability.
Keywords: UAV; remote control and communication; sensor systems; simulation.
Conflict of interest statement
The authors declare that they have no conflict of interest. The funders had no role in the design of the study; in the collection, analysis or interpretation of the data; in the writing of the manuscript; or in the decision to publish the results.
Figures
Figure 1
Variant v1 of the hexacopter. (a) Equipment; (b) Radio control.
Figure 2
Variant v2 of the hexacopter.
Figure 3
Hexacopter variant v1. (a) Components; (b) Assembly.
Figure 4
Connections diagram for hexacopter variant v1.
Figure 5
Hexacopter assembly for variant v2.
Figure 6
Blocd diagram of hexacopter platform.
Figure 7
Arrangement of the telemetry kit on the drone and on the ground.
Figure 8
Video signal transmission–reception chain from hexacopter to the operator.
Figure 9
Pixhawk 2.4.8 flight controller and the peripheral connection interfaces.
Figure 10
The ESC architecture and simplified diagram of ESC operation. (a) ESC general architecture; (b) Simplified diagram of ESC operation.
Figure 11
Hobbywing XRotor 40A Opto ESC.
Figure 12
Propulsion system efficiency test stand configurations.
Figure 13
Measurement of the rotor assembly maximum RPM.
Figure 14
Propulsion system tests results. (a) Propulsion system efficiency; (b) Traction force as a function of RPM; (c) Current consumption based on RPM; (d) Mechanical power versus RPM.
Figure 15
Measurement of motor temperature during operation on the test stand, within 5–100% throttle range.
Figure 16
Results obtained after running the simulation using xcoperCalc platform.
Figure 17
Online tests. (a) Range estimator; (b) Motor characteristics at full throttle.
Figure 18
Mission planner ground control station. (a) Main window; (b) HUD window.
Figure 19
Employed open area test rigs.
Figure 20
Hexacopter in stationary flight at a fixed point—flight stages.
Figure 21
Drone-mounted GoPro camera footage, on the ground and in flight.
Figure 22
Mission planner interface. Images acquired by GoPro camera mounted on the hexacopter.
Figure 23
Wind speed measurement with anemometer.
Figure 24
Closed-loop PID scheme—general approach.
Figure 25
Hexacopter programmed and recorded altitude.
Figure 26
Hexacopter measured parameters. (a) Altitude and ambient temperature; (b) Ambient atmospheric pressure.
Figure 27
Tests performed on the motors without propellers. (a) Speed command given by the operator; (b) Engine response to the operator command.
Figure 28
The altitude of the test site. (a) Operating altitude of the in situ location; (b) Test location.
Figure 29
Results processed with the online platforms. (a) Engines response to the lift command; (b) Accelerometer (0) vibration recordings.
Figure 30
Vibration and clipping. (a) Accelerometer (0); (b) Clipping.
Figure 31
Gyro rotational speeds and accuracy of data received from GPS satellites. (a) Gyro rotational speeds in rad/s for IMU (0) and (1); (b) Accuracy of data received from GPS satellites.
Figure 32
Accuracy of HDop positioning data received from GPS satellites.
Figure 33
Relative speed of the drone to the ground.
Figure 34
Vibration frequencies induced by motors rotation.
Figure 35
Fluid dynamics simulation. (a) CFD approach; (b) Enclosure.
Figure 36
Velocity profile and dissipated turbulences for no wind and lateral wind scenarios.
Figure 36
Velocity profile and dissipated turbulences for no wind and lateral wind scenarios.
Figure 37
Streamlines and pressure contours on the rotors.
Figure 38
Drag and lift forces -numerical vs. analytic computation.
Figure 39
Maximum displacements on Y axis after 0.25s hover flight time.
Figure 40
Hexacopter dynamic analysis using FEM.
Figure 41
FEM model.
Figure 42
Mode shapes of the structural components and of the propeller.
Figure 43
Drop test results at 0.1s after the impact.
Figure 44
Hexacopter impact during field tests.
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