Approach to Dynamic Error Suppression in Ground Vehicle Gravimetry Based on External Velocity Compensation
The process of ground vehicle dynamic gravimetry is inevitably affected by the carrier's maneuvering acceleration, which makes the result contain a large amount of dynamic error. In this paper, we propose a dynamic error suppression method of gravimetry based on the high-precision acquisition of external velocity for compensating the horizontal error of the inertial platform. On the basis of platform gravity measurement, firstly, the dynamic performance of the system is enhanced by optimizing the horizontal damping network of the inertial platform and selecting its parameter. Secondly, an improved federal Kalman filtering algorithm and a fault diagnosis method are designed using strapdown inertial navigation system (SINS), odometer (OD), and laser Doppler velocimeter (LDV). Simulation validates that these methods can improve the accuracy and robustness of the external velocity acquisition. Three survey lines are selected in Tianjin, China, for the gravimetry experiments with different maneuvering levels, and the results demonstrate that after dynamic error suppression, the internal coincidence accuracies of smooth and uniform operation, obvious acceleration and deceleration operation, and high-dynamic operation are improved by 70.2%, 73.6%, and 77.9% to reach 0.81 mGal, 1.30 mGal, and 1.94 mGal, respectively, and the external coincidence accuracies during smooth and uniform operation are improved by 48.6% up to 1.66 mGal. It is shown that the proposed method can effectively suppress the dynamic error, and that the accuracy improvement increases with carrier maneuverability. However, the amount of residual error that can not be entirely eliminated increases as well, so the ground vehicle dynamic gravimetry should be maintained in the carrier for smooth and uniform operation.
Authors
- Zhenjun Chang (ORCID: https://orcid.org/0009-0009-9726-8698)
- Xinyu Li (ORCID: https://orcid.org/0000-0002-3730-0360)
- Zhili Zhang (ORCID: https://orcid.org/0000-0003-1323-8790)
- Zhaofa Zhou
- Hao Shiwen
Institutions
- PLA Rocket Force University of Engineering (CN)
Publication Details
- Journal
- Journal of Systems Engineering and Electronics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.23919/jsee.2025.000039
- Citations
- 1
- Primary Topic
- Industrial Technology and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21