Research on the Pose Error Compensation Technology for the Mass and Centroid Measurement of Large-Sized Aircraft Based on Kinematics

Yu, Hang; Zhang, Xiaolin; Wang, Zanqin; Tang, Weijun; Wang, Jun

doi:10.3390/s23020701

Cited by 3 publications

(2 citation statements)

References 7 publications

(13 reference statements)

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“…If formula ( 20) is discretized, the coordinates of the projection point of the center of gravity of the measured part in the Y 1 axis direction are shown in formula (21):…”

Section: Radial Center Of Gravity Measurement Error Separationmentioning

confidence: 99%

“…Therefore, the measurement error of the coordinates of the projection point of the center of gravity along axis Y 1 can be separated by the reverse method [20]. By allowing the measured part rotate 180 • around the rotation axis [21] and disregarding Z y (n), and formula (22) can be obtained: Since y E (n + π ) ≈ y E (n), formula (22) can be rewritten as:…”

Section: Radial Center Of Gravity Measurement Error Separationmentioning

confidence: 99%

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Research on error separation method of center of gravity measurement system for large-sized solid of revolution

Wang

Zhao

2023

Meas. Sci. Technol.

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In order to realize mass and center of gravity measurement of large-sized rotating parts, a set of combined measurement system for center of gravity measurement was developed to adjust the distance according to the length and supporting position of the parts to adapt to different lengths of the measured parts. The study focused on the center of gravity synthesis, error factors and error separation within the system. Firstly, two sets of center of gravity measuring equipment based on multi-point weighing method were used to conduct a joint test on the large-sized measured parts, and the center of gravity measuring model was analyzed. Secondly, the measurement error and its influence on the measurement result are were analyzed when the two sets of measuring equipment were not parallel. Finally, error signals were separated using the multi-step method, Fourier transform and inverse Fourier transform. Simulation experiments show that the residual center of gravity error of Y axis and Z axis is less than 0.3 mm when the tilt angle between two sets of equipment is below 0.3°. The test results demonstrate that the center of gravity measurement error along the X axis is less than 2 mm, which indicates the measurement accuracy better than 0.02% as the length of the test object is about 10000 mm, and the center of gravity measurement error along the Y axis and Z axis is less than 0.5 mm, which also indicates the measurement accuracy better than 0.02%. These findings indicate that the system enables high-precision measurement of the center of gravity for large-sized rotary products.

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“…If formula ( 20) is discretized, the coordinates of the projection point of the center of gravity of the measured part in the Y 1 axis direction are shown in formula (21):…”

Section: Radial Center Of Gravity Measurement Error Separationmentioning

confidence: 99%

Section: Radial Center Of Gravity Measurement Error Separationmentioning

confidence: 99%

Research on error separation method of center of gravity measurement system for large-sized solid of revolution

Wang

Zhao

2023

Meas. Sci. Technol.

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A high-precision measurement method for moment of inertia based on torsion pendulum method

Cui,

Hong,

et al. 2024

Meas. Sci. Technol.

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The precise determination of moment of inertia (MOI) holds paramount importance in investigating the rotational dynamics of an object. Based on the torsion pendulum system, a novel high-precision measurement method for MOI is developed by using the constant force in this paper. Firstly, the extreme response characteristics of a torsional pendulum measurement system under a constant force are discussed in detail in this paper, and the relationships between the system damping ratio, natural frequency, MOI and the extremal characteristic points of the system response are determined through the linear regression analysis. By applying the superposition principle, the MOI for the object being measured can be computed. As the performance of the constant force source is the key to ensure the measurement accuracy, this paper develops an electromagnetic force source, which consists of a coil and a permanent magnet, and the electromagnetic force variation law with the relative position of the coil and permanent magnet is investigated by utilizing a high-precision electronic balance, and then the optimal relative position is determined to reduce the impact of the relative position on the electromagnetic force. Furthermore, the high-precision electromagnetic force driving equation at the optimal position is acquired by utilizing the least square method. Finally, this paper develops a novel torsional measurement device for the MOI and successfully achieves high-precise measurement of the MOI for the target object using the proposed measurement method. The measurement experiment for MOI of a target object indicates that the corresponding measurement relative error is 0.297%, thereby confirming the effectiveness and high precision of the proposed measurement approach.

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Brain MRA 3D Skeleton Extraction Based on Normal Plane Centroid Algorithm

Feng,

Zhu,

2023

EAI Endorsed Trans Perv Health Tech

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INTRODUCTION: Analysis of magnetic resonance angiography image data is crucial for early detection and prevention of stroke patients. Extracting the 3D Skeleton of cerebral vessels is the focus and difficulty of analysis. OBJECTIVES: The objective is to remove other tissue components from the vascular tissue portion of the image with minimal loss by reading MRA image data and performing processing processes such as grayscale normalization, interpolation, breakpoint detection and repair, and image segmentation to facilitate 3D reconstruction of cerebral blood vessels and the reconstructed vascular tissues make extraction of the Skeleton easier. METHODS: Considering that most of the existing techniques for extracting the 3D vascular Skeleton are corrosion algorithms, machine learning algorithms require high hardware resources, a large number of learning and test cases, and the accuracy needs to be confirmed, an average plane center of mass computation method is proposed, which improves the average plane algorithm by combining the standard plane algorithm and the center of mass algorithm. RESULTS: Intersection points and skeleton breakpoints on the Skeleton are selected as critical points and manually labeled for experimental verification, and the algorithm has higher efficiency and accuracy than other algorithms in directly extracting the 3D Skeleton of blood vessels. CONCLUSION: The method has low hardware requirements, accurate and reliable image data, can be automatically modeled and calculated by Python program, and meets the needs of clinical applications under information technology conditions.

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Research on the Pose Error Compensation Technology for the Mass and Centroid Measurement of Large-Sized Aircraft Based on Kinematics

Cited by 3 publications

References 7 publications

Research on error separation method of center of gravity measurement system for large-sized solid of revolution

Research on error separation method of center of gravity measurement system for large-sized solid of revolution

A high-precision measurement method for moment of inertia based on torsion pendulum method

Brain MRA 3D Skeleton Extraction Based on Normal Plane Centroid Algorithm

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