Mass and 3D centroid test and error analysis of small UAV

Liwei Sun1 , Shukun Wang2 , Haokun Wang3 , Weihong Zhao4 , Junye Li5 , Liguang Dong6

1, 2, 4, 5, 6Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun, China

3School of Mechanical Engineering, Guangxi University, Nanning, China

5Corresponding author

Vibroengineering PROCEDIA, Vol. 42, 2022, p. 106-111. https://doi.org/10.21595/vp.2022.22616
Received 20 April 2022; received in revised form 3 May 2022; accepted 9 May 2022; published 16 May 2022

56th International Conference on Vibroengineering, Zittau, Germany, May 16, 2022

Copyright © 2022 Liwei Sun, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract.

Mass and center of mass are important mass characteristic parameters, and these parameters have a direct impact on the space motion attitude, motion trajectory, and flight stability of the rotor UAV. In this paper, the multi-point weighing method is used to measure the mass and three-dimensional center of mass of the rotary-wing UAV, the measurement principle is deeply analyzed and the system error is deeply studied. It can provide theoretical guidance for the development of test equipment for the mass and three-dimensional center of mass of the rotor UAV.

Mass and 3D centroid test and error analysis of small UAV

Highlights
  • The mass and three-dimensional center of mass of the rotary-wing UAV were measured by multi-point weighing method.
  • The calculation formulas of mass, three-dimensional centroid and system synthesis error are deduced.
  • The measurement principle is deeply analyzed and the systematic error is deeply studied.

Keywords: rotor UAV, 3D centroid test, error analysis, three-point weighing method.

1. Introduction

As a product of the development of modern science and technology, UAVs are playing an increasingly important role in the military and civilian fields [1]. UAVs mainly feed back important control information such as flight attitude and heading trajectory to operators through ground stations. An important parameter that affects this information is the quality characteristic parameter [2]. The mass characteristic parameters include four parameters: mass, the center of mass, a moment of inertia, and inertia product [3]. The center of mass has a direct impact on the space motion attitude, motion trajectory, and flight stability of small UAVs. The force of small UAVs is relatively complex during the flight process. Accurately measuring the mass and center of mass of the UAV can accurately analyze the force, avoid the UAV from deviating from the flight trajectory, and improve the flight performance. Due to the higher requirements of users on the performance indicators of UAVs, the size and structure of UAVs are getting smaller and smaller, but the functions are increasing [4]. As a result, the internal structure of the UAV is more complex, various components are distributed in it, and the mass distribution is uneven. Therefore, the accuracy of the mass center parameter calculated by the classical theoretical model cannot meet the requirements of UAV technology itself, and cannot be used as its The control parameters of the flight attitude are used, therefore, it is necessary to determine the mass and center of mass of the UAV by an experimental method [5]. However, the measurement equipment for the quality characteristics of UAVs recorded in the literature is mainly designed for fixed-wing UAVs. The equipment covers a large area and can only measure specific types of UAVs. For example, Wang Guogang et al. used the projection method to measure the position of the center of mass of the fixed-wing UAV, which reduced the test cost and improved the test accuracy [6]. Chen Ping et al. used the four-point weighing method to measure the center of mass of a large fixed-wing UAV, which improved the measurement efficiency [7]. Gopinath used the inverted torsion pendulum method and the multi-point weighing method to measure the mass characteristics of the spacecraft. Although the accuracy of the measurement system is improved [8] when testing the center of mass of the spacecraft, only the two-dimensional center of mass can be measured, usually, the three-dimensional centroid of the measured object needs to be detected, so this research is not perfect. Although domestic and foreign scholars have done some research on the quality characteristics of fixed-wing UAVs, there are still some problems that need to be further improved. At the same time, the test equipment for measuring the mass characteristics of the rotary-wing UAV has yet to be developed. Therefore, the test principle of the mass center of the rotary-wing UAV is studied in this paper, and the error analysis is carried out. It provides a theoretical basis for the actual development of test equipment for measuring the quality characteristics of rotary-wing UAVs.

2. Principle of quality and centroid testing

The measurement methods of the center of mass mainly include the geometric drawing method, zero position method, suspension method, compound pendulum method, mass response method, trimming method, multi-point weighing method, etc. [9]. The multi-point weighing method has a simple structure, and the sensor can be replaced according to the actual situation to adjust the measurement range and is not affected by the shape and size of the sample. By selecting the sensor reasonably and arranging the position of the sensor reasonably, the measurement accuracy can be up to 0.01 mm [10]. As shown in Fig. 1, the mass and centroid test adopts the test principle of the three-point weighing method. The three load cells S1, S2, and S3 are respectively located on the circle with the origin of the coordinate system as the center and the radius of R, and the connection lines of the three sensors form an equilateral triangle.

Fig. 1. Schematic diagram of the measurement of the centroid of the x, y-axis

Schematic diagram of the measurement of the centroid of the x, y-axis

Place the drone horizontally on the measuring table, as shown in Fig. 2(a), the data measured by sensors S1, S2, and S3 are, G1, G2, G3 respectively. Eq. (1) is obtained according to the static equilibrium equation;

(1)
G=G1+G2+G3.

Take the moments on the x-axis and y-axis respectively to get the balance equation:

(2)
G1Rcos30°+Gyc=G3Rcos30°,
(3)
G2R=G1Rsin30°+G3Rsin30°+Gxc.

The expressions of x and y are sorted as:

(4)
xc=2G2-G1-G3R2G,
(5)
yc=3G3-G1R2G.

After the centroid of the drone in the x and y-axis directions is measured, to measure the centroid of the z-axis of the drone, it is necessary to rotate the drone around the y-axis by 90°, as shown in Fig. 2(b).

Fig. 2. Schematic diagram of 3D centroid measurement

Schematic diagram of 3D centroid measurement

a)

Schematic diagram of 3D centroid measurement

b)

The principle of measuring the z-axis centroid is shown in Fig. 3.

Fig. 3. Schematic diagram of z, y-axis centroid measurement

Schematic diagram of z, y-axis centroid measurement

According to the static balance equation, the center of mass of the z-axis can be obtained:

(6)
zc=2G2-G1-G3R2G.

The mass and three-dimensional center of mass of the UAV are calculated by Eqs. (1), (4), (5), and (6).

3. Quality and centroid test error analysis

3.1. Quality error analysis

The mass error is mainly due to the random error brought by the three load cells. If the error of each sensor is ui (i= 1, 2, 3), the total error of the UAV mass measurement can be obtained according to Eq. (7):

(7)
uw=u12+u22+u32+21i33ρijuiuj,

where ρij is the correlation coefficient between any two load cells, because, in the actual measurement process, each sensor is independent of each other, so ρij=0.

The range of the load cell selected for this test is 0-5 kg, and the accuracy is δ= 0.01 %. Usually, the mass measurement error is δ= 0.01 % of the full scale of the sensor, and the error of each sensor can be expressed as Eq. (8):

(8)
u=u1=u2=u3=5×0.01%=0.0005 kg.

Therefore, from Eq. (7), the maximum error of the mass of the UAV is known as uw=3u=0.00053kg.

3.2. Centroid measurement error

The measurement error of the centroid mainly depends on the measurement error of the load cell and the positioning error of the sensor. The positioning error is mainly related to the installation position of the sensor and the levelness of the test bench.

3.2.1. Centroid error caused by mass measurement error

The centroid calculation error caused by the mass measurement error can be expressed by Eq. (9):

(9)
uxc=xcG1u12+xcG2u22+xcG3u32.

Take the partial derivative of Eq. (4) for G1, G2, and G3 and bring it into Eq. (9) and combine Eq. (8) to obtain Eq. (10):

(10)
uxc=xcG1u12+xcG2u22+xcG3u32=6Ru2G1+G1-2G2+G32G2.

Take the partial derivative of Eq. (5) with respect to G1, G2, and G3 and bring it into Eq. (9) and combine Eq. (8) to obtain Eq. (11):

(11)
uyc=xcG1u12+xcG2u22+xcG3u32=6Ru2G1+12G1-G328G2.

The same can be obtained:

(12)
uzc=xcG1u12+xcG2u22+xcG3u32=6Ru2G1+G1-2G2+G32G2.

3.2.2. The centroid error caused by the positioning error

The centroid error caused by the positioning error of the load cell is a systematic error, including positional and flatness errors. The position of the sensor positioning hole is 0.0 3mm, the levelness of the test bench is better than 0.002 mm, and the comprehensive error Δe= 0.032 mm can be obtained. If the comprehensive errors of the three sensors are Δe1, Δe2, Δe3 to ensure that the error is minimized, Δe1=Δe2=Δe3=13Δe, G1=G2=G3=G3 can be taken, then the centroid error can be expressed as Eq. (13) and Eq. (14):

(13)
Δxc=Δzc=2G2Δe2+G1Δe1+G3Δe32G=23Δe,
(14)
Δyc=3G3Δe3+G2Δe22G=33Δe.

3.2.3. Centroid comprehensive test error

The components of the centroid in the x, y, and z directions can be obtained by taking Eqs. (10) to (14) into Eq. (15), and taking the calculation result of Eq. (15) into Eq. (16) to obtain the error of the centroid:

(15)
ωxc=uxc2+Δxc2,ωyc=uyc2+Δyc2,ωzc=uzc2+Δzc2,
(16)
ω=ωxc2+ωyc2+ωzc2.

4. Experimental data analysis

4.1. Mass uncertainty analysis

A standard weight with a specification of 5 kg was selected for the experiment, and the experimental results are shown in Table 1. The relative error of the measurement results is analyzed using the Bessel formula. The basic Bessel formula is as follows:

(17)
s=1nvi2n-1,

where vi represents the residual of the i-th measurement data.

Table 1. Measurement results of standard weights

i
1
2
3
4
5
6
7
8
9
10
Measured value (g)
5001.8
5001.6
5001.5
5001.7
5001.9
5001.6
5001.8
5001.6
5001.4
5001.7

Using Eq. (17), the standard uncertainty of mass measurement is s= 1.7563 g, the expanded uncertainty is sk= 5.2689 g, and the relative uncertainty is 0.105 %, which meets the accuracy requirements.

4.2. Centroid uncertainty analysis

A standard sample with a known three-dimensional centroid was selected for measurement, and the measurement results are shown in Table 2. The three-dimensional centroids of the standard samples are xc= 0 mm, yc= 0 mm and zc= 40 mm respectively.

Using the average value of multiple measurement results as the measurement value, the errors of the three-dimensional centroid are obtained as xe= 0.152 mm, ye= 0.148 mm and ze= 0.17 mm respectively. The errors are all less than 0.2 mm, which meets the accuracy requirements.

Table 2. Measurement results of standard samples

Experiment number
xc (mm)
yc (mm)
zc (mm)
1
0.15
0.13
40.22
2
0.13
0.12
40.16
3
0.17
0.15
40.18
4
0.16
0.16
40.15
5
0.15
0.18
40.14
Average value
0.152
0.148
40.17

5. Conclusions

This paper uses the three-point weighing method to test the mass and three-dimensional center of mass of the rotary-wing UAV, analyzes the test principle, conducts an in-depth study of the system error, and deduces the expression of the comprehensive error. The calculation formulas for calculating the mass and three-dimensional center of mass of the rotor UAV are obtained, which can provide theoretical guidance for the development of test equipment for the mass and three-dimensional center of mass of the rotor UAV.

Acknowledgements

The authors would like to thank the national natural science foundation of China U1937201, Science and technology development plan project of Jilin province No. 20200301040RQ and 20210201057GX, Science and technology research project of Jilin Provincial Department of Education No. JJKH20220734KJ.

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