the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
High resolution wind speed measurements with quadcopter UAS: calibration and verification in a wind tunnel with active grid
Abstract. As a contribution to closing observational gaps in the atmospheric boundary layer (ABL), the SWUF-3D fleet of unmanned aerial systems (UAS) is utilized for in situ measurements of turbulence. To date, the algorithm for wind measurement has only been calibrated in the free field. We therefore present in this work the calibration and verification under laboratory conditions. The UAS measurements are performed in a wind tunnel with active grid and constant temperature anemometers (CTAs) as a reference. Calibration is performed in x- and y-coordinate directions of the UAS body frame in wind speeds of 2…18 m s-1. For systematic verification of the measurement capabilities and identification of limitations, different measurement scenarios like gusts, velocity steps and turbulence are generated with the active grid. Furthermore, the measurement accuracy under different angles of sideslip (AoS) and wind speeds is investigated and it is examined whether the calibration coefficients can be ported to other UAS of the fleet. Our analyses show that the uncertainty depends on the wind speed magnitude and increases with higher wind speeds, resulting in an overall root-mean-square error (RMSE) of less than 0.2 m s-1. Applying the calibration coefficients from one UAS to others within the fleet results in comparable accuracies. Flights in different gusts yield an RMSE of up to 0.6 m s-1. The maximal RMSE occurs in the most extreme velocity steps (i.e. a lower speed of 5 m s-1 and an amplitude of 10 m s-1) and exceeds 1.3 m s-1. For variances below approx. 0.5 m2 s-2 and 0.3 m2 s-2, the maximal resolvable frequencies of the turbulence are about 2 Hz and 1 Hz respectively. We report successful calibration but with susceptibility to high AoS in high wind speeds, no necessity of wind tunnel calibration for individual UAS, and the need for further research regarding turbulence analysis.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(4828 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(4828 KB) - Metadata XML
- BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2024-222', Anonymous Referee #1, 10 Apr 2024
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AC1: 'Reply on RC1', Johannes Kistner, 31 May 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-222/egusphere-2024-222-AC1-supplement.pdf
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AC1: 'Reply on RC1', Johannes Kistner, 31 May 2024
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RC2: 'Comment on egusphere-2024-222', Anonymous Referee #2, 06 May 2024
General Comments:
The paper entitled, ‘High resolution wind speed measurements with quadcopter UAS: calibration and verification in a wind tunnel with active grid’ presents the validation results of UAS-based wind estimates obtained by performing flight experiments in an open-section wind tunnel with an active grid. The UAS wind estimation performance was assessed by varying flow conditions and the aircrafts sideslip angle. This work is important to understand the reliability of UAS in measuring wind speed and turbulence within the planetary boundary layer. However, the authors need to address the following points before I can recommend publication in AMT.
Specific Comments:
Line 1: The manuscript states, “As a contribution to closing observational gaps in the atmospheric boundary layer (ABL), the SWUF-3D fleet of unmanned aerial systems (UAS) is utilized for in situ measurements of turbulence.” Here it would be helpful to tell the reader what scales of turbulence is the SWUF-3D platform able to resolve.
Line 2: The manuscript states, “To date, the algorithm for wind measurement has only been calibrated in the free field.” Here the authors need to specify which specific algorithm they are referring to. Additionally, it’s unclear if the authors are using the words ‘turbulence measurement’ and ‘wind measurement’ interchangeably. If not, and therefore the authors need to make the distinction between turbulence and wind velocity measurement with more clarity.
Line 10: The manuscript states, “our analyses show that the uncertainty depends on the wind speed magnitude and increases with higher wind speeds, resulting in an overall root-mean squared error (RMSE) of less the 0.2 m s-1.” However, it is not explicitly stated which type of uncertainty the authors are referring to.
Line 12: The manuscript states, “The maximal RMSE occurs in the most extreme velocity steps (i.e., a lower speed of 5 m s-1 and an amplitude of 10 m s-1) and exceeds 1.3 m s-1. This result seems to contradict the result reported in Line 10.
Figure 1: It would be helpful for the authors to denote the distance between the points a, b, and c, as well as the position of all 7 CTAs and the Prandtl probe in Figure 1. Additionally, since the calibration experiments were performed in a wind tunnel with an open test section, were any experiments performed to quantify the wind field differences across points b and c?
Line 100: The positional drift should be reported in units of distance (i.e., m) instead of units of speed (i.e., m s-1).
Line 101: The manuscript states, “As wind speed increases, the intensity and direction of the drift change without a discernible systematic, which required constant adjustment counteracting the drift during the test flights. These adjustments were executed by the remote pilot through a manual trim.” It would be useful for the reader to know if the manual trim remained constant across all test cases, and if any experiments were performed to quantify how the manual trimming affected the accuracy of wind estimates.
Line 123: The manuscript states, “Test runs with no UAS show that all CTAs measure the equivalent wind speed with sufficient accuracy: the standard deviation of the measured wind speed of the individual CTAs is less than 0.05 m/s.” Is there a figure showing these results? Why not use instead the absolute error or root mean squared error to compare the performance of CTAs? Additionally, did the authors perform an analysis to determine the error between the CTAs and the Prandtl probe?
Line 135: The manuscript states, “Careful quality checks were carried out for the CTA measurement data and corrupted data was sorted out.” It would be useful for the reader to know the process or criteria that was used validate the quality of CTA measurement data.
Line 148: It would be useful for the reader to know which specific optimization algorithm was used to estimate the calibration coefficients for Eq. 1.
Line 150: A reference is needed for ISO 17713-1:2007
Table A1 is missing entries in column two
Table A2 is missing entries in column one
Table A4 is missing entries in column one
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AC2: 'Reply on RC2', Johannes Kistner, 31 May 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-222/egusphere-2024-222-AC2-supplement.pdf
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AC2: 'Reply on RC2', Johannes Kistner, 31 May 2024
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2024-222', Anonymous Referee #1, 10 Apr 2024
-
AC1: 'Reply on RC1', Johannes Kistner, 31 May 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-222/egusphere-2024-222-AC1-supplement.pdf
-
AC1: 'Reply on RC1', Johannes Kistner, 31 May 2024
-
RC2: 'Comment on egusphere-2024-222', Anonymous Referee #2, 06 May 2024
General Comments:
The paper entitled, ‘High resolution wind speed measurements with quadcopter UAS: calibration and verification in a wind tunnel with active grid’ presents the validation results of UAS-based wind estimates obtained by performing flight experiments in an open-section wind tunnel with an active grid. The UAS wind estimation performance was assessed by varying flow conditions and the aircrafts sideslip angle. This work is important to understand the reliability of UAS in measuring wind speed and turbulence within the planetary boundary layer. However, the authors need to address the following points before I can recommend publication in AMT.
Specific Comments:
Line 1: The manuscript states, “As a contribution to closing observational gaps in the atmospheric boundary layer (ABL), the SWUF-3D fleet of unmanned aerial systems (UAS) is utilized for in situ measurements of turbulence.” Here it would be helpful to tell the reader what scales of turbulence is the SWUF-3D platform able to resolve.
Line 2: The manuscript states, “To date, the algorithm for wind measurement has only been calibrated in the free field.” Here the authors need to specify which specific algorithm they are referring to. Additionally, it’s unclear if the authors are using the words ‘turbulence measurement’ and ‘wind measurement’ interchangeably. If not, and therefore the authors need to make the distinction between turbulence and wind velocity measurement with more clarity.
Line 10: The manuscript states, “our analyses show that the uncertainty depends on the wind speed magnitude and increases with higher wind speeds, resulting in an overall root-mean squared error (RMSE) of less the 0.2 m s-1.” However, it is not explicitly stated which type of uncertainty the authors are referring to.
Line 12: The manuscript states, “The maximal RMSE occurs in the most extreme velocity steps (i.e., a lower speed of 5 m s-1 and an amplitude of 10 m s-1) and exceeds 1.3 m s-1. This result seems to contradict the result reported in Line 10.
Figure 1: It would be helpful for the authors to denote the distance between the points a, b, and c, as well as the position of all 7 CTAs and the Prandtl probe in Figure 1. Additionally, since the calibration experiments were performed in a wind tunnel with an open test section, were any experiments performed to quantify the wind field differences across points b and c?
Line 100: The positional drift should be reported in units of distance (i.e., m) instead of units of speed (i.e., m s-1).
Line 101: The manuscript states, “As wind speed increases, the intensity and direction of the drift change without a discernible systematic, which required constant adjustment counteracting the drift during the test flights. These adjustments were executed by the remote pilot through a manual trim.” It would be useful for the reader to know if the manual trim remained constant across all test cases, and if any experiments were performed to quantify how the manual trimming affected the accuracy of wind estimates.
Line 123: The manuscript states, “Test runs with no UAS show that all CTAs measure the equivalent wind speed with sufficient accuracy: the standard deviation of the measured wind speed of the individual CTAs is less than 0.05 m/s.” Is there a figure showing these results? Why not use instead the absolute error or root mean squared error to compare the performance of CTAs? Additionally, did the authors perform an analysis to determine the error between the CTAs and the Prandtl probe?
Line 135: The manuscript states, “Careful quality checks were carried out for the CTA measurement data and corrupted data was sorted out.” It would be useful for the reader to know the process or criteria that was used validate the quality of CTA measurement data.
Line 148: It would be useful for the reader to know which specific optimization algorithm was used to estimate the calibration coefficients for Eq. 1.
Line 150: A reference is needed for ISO 17713-1:2007
Table A1 is missing entries in column two
Table A2 is missing entries in column one
Table A4 is missing entries in column one
-
AC2: 'Reply on RC2', Johannes Kistner, 31 May 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-222/egusphere-2024-222-AC2-supplement.pdf
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AC2: 'Reply on RC2', Johannes Kistner, 31 May 2024
Peer review completion
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Johannes Kistner
Lars Neuhaus
Norman Wildmann
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(4828 KB) - Metadata XML