Large-Space Laser Tracking Attitude Combination Measurement Using Backpropagation Algorithm Based on Neighborhood Search
Source abstract
Abstract
Large-space high-precision attitude dynamic measurement technology has urgent application needs in large equipment manufacturing fields, such as aerospace, rail transportation, automobiles, and ships. In this paper, taking laser tracking equipment as the base station, a backpropagation algorithm based on neighborhood search is proposed, which is applied to the fusion of multi-source information for solving the dynamic attitude angle. This paper firstly established a mathematical model of laser tracking attitude dynamic measurement based on IMU and CCD multi-sensor, designed a 6-11-3 back propagation network structure and algorithm flow, and realized the prediction of attitude angle through model training. Secondly, the method based on neighborhood search realizes the determination of the optimal training target value of the model, of which the MSE has a 34% reduction compared to the IMU determination method. Finally, the experimental platform is set up with the precision rotary table as the motion carrier to verify the effectiveness of the research method in this paper. The experimental results show that with the neighborhood-based backpropagation algorithm, the measurement results have a higher data update rate and a certain inhibition effect on the error accumulation of IMU. The absolute value of the system angle error can be less than 0.4° within 8 m and 0–50°, with an angle update rate of 100 Hz. The research method in this paper can be applied to the dynamic measurement of laser tracking attitude angles, which provides a new reference for the angle measurement method based on the fusion of multi-source information.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Inertial Sensor and Navigation · Astronomical Observations and Instrumentation · Robotics and Sensor-Based Localization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
AVIC Changcheng Institute of Metrology & Measurement, Beijing 100095, China
Hubei Key Laboratory of Modern Manufacture Quality Engineering, School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China
Funding
The National Key Research and Development Program “High Performance Manufacturing Technology and Major Equipment” Special Project
References (30)
Show source-provided references
1. High precision six-degree-of-freedom interferometer for test mass readout10.1088/1361-6382/ac5923 ↗
2. Lorenc, A., Szarata, J., and Czuba, M. (2023). Real-Time Location System (RTLS) Based on the Bluetooth Technology for Internal Logistics. Sustainability, 15.10.3390/su15064976 ↗
3. Fused-like angles: Replacement for roll-pitch-yaw angles for a six-degree-of-freedom grating interferometer10.1631/FITEE.2000432 ↗
4. Conceptual Design for Assembly methodology formalization: Systems installation analysis and manufacturing information integration in the design and development of aircraft architectures
5. Kinematic calibration of serial robot using dual quaternions10.1108/IR-10-2018-0221 ↗
6. Fernandez, S.R., Olabi, A., and Gibaru, O. (2018, January 12–14). On-Line accurate 3D positioning solution for robotic large-scale assembly using a vision system and a 6Dof tracking unit. Proceedings of the 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China.10.1109/IAEAC.2018.8577726 ↗
7. Ma, L., Bristow, D.A., and Landers, R.G. (2018, January 15–19). Modeling and compensation of industrial robot kinematic errors using a smart track sensor. Proceedings of the International Symposium on Flexible Automation, Kanazawa, Japan.
8. High-Precision method for simultaneously measuring the six-degree-of-freedom relative position and pose deformation of satellites10.1364/OE.487302 ↗
9. On-Site accuracy evaluation of laser tracking attitude measurement system10.1364/OE.504765 ↗
10. Lau, K., Yang, Y., Liu, Y., and Song, H. (2010, January 28–30). Dynamic performance evaluation of 6D laser tracker sensor. Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, Baltimore, MD, USA.10.1145/2377576.2377628 ↗
11. Clark, R., Wang, S., Wen, H., Markham, A., and Trigoni, N. (2017, January 4–9). Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem. Proceedings of the AAAI Conference on Artificial Intelligence, San Francisco, CA, USA.10.1609/aaai.v31i1.11215 ↗
12. A monocular vision and inclinometer combined system for 6DOF measurement of double shield TBM10.1016/j.sna.2016.08.021 ↗
13. High-Accuracy attitude angle measurement system using laser collimation10.1364/AO.522978 ↗
14. Shao, T. (2012). Key Technology for Laser Target Used in Shield Attitude Measurement. [Master’s Thesis, Huazhong University of Science and Technology].
15. Chen, P. (2014). Key Technology of Shield Attitude Measurement System. [Master’s Thesis, Huazhong University of Science and Technology].
16. Research on the solution of shield machine digging position attitude based on neuralnetwork-Newton hybrid algorithm
17. Li, W., Guo, Y., and Zhao, C. (2017, January 25–26). Design of Laser Guiding Target for Shield. Proceedings of the International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017), Beijing, China.
18. Goniometric error analysis of total station oblique incidence angle cone prism
19. Pose error compensation based on joint space division for 6-DOF robot manipulators10.1016/j.precisioneng.2021.11.010 ↗
20. Method and system for simultaneously measuring six degrees of freedom motion errors of a rotary axis based on a semiconductor laser10.1364/OE.493982 ↗
21. EPNP Monocular vision measurement system based on EPNP algorithm
22. Yan, K., Xiong, Z., Lao, D.B., Zhou, W.H., Zhang, L.G., Xia, Z.P., and Chen, T. (2019, January 7–9). Attitude measurement method based on 2DPSD and monocular vision. Proceedings of the Applied Optics and Photonics China (2019), Beijing, China.
23. Laser tracking attitude angle measurement method based on vision and laser collimation
24. Laser tracking attitude measurement based on improved visual orthogonal iterative method
25. Selection of proper neural network sizes and architectures: A comparative study10.1109/TII.2012.2187914 ↗
26. Linear pose estimation with a monocular vision system
27. Optimized Pose Measurement System Combining Monocular Vision with Inclinometer Sensors
28. Gao, K. (2018). Research on 6-DOF Dynamic Measurement Method Based on the Laser Tracker. [Master’s Thesis, Tianjin University].
29. Research on portable high-precision six-degree-of-freedom motion optical measurement system
30. An accurate 6-DOF dynamic measurement system with laser tracker for large-scale metrology10.1016/j.measurement.2022.112052 ↗