Rotating Accelerometer Gravity Gradiometer Self-Calibration
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Solution Overview
Problem
Existing rotating accelerometer gravity gradiometers face measurement errors due to installation errors, mismatched scale factors, and high-order non-linear errors, which saturate or damage the circuit, requiring online compensation for motion errors, and self-gradients from system components interfere with gravitational gradient measurements.
Innovation Solution
A calibration method that applies linear and angular motions to the gravity gradiometer, records outputs, and rapidly calibrates motion error coefficients and self-gradient model parameters using analytical models, enabling online compensation and self-gradient correction without external tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion error coefficients and self-gradient parameters are calibrated separately using traditional methods, then calibration completeness is improved, but calibration time and system complexity increase significantly
Solution Approach 1:
The patent combines the calibration of motion error coefficients and self-gradient parameters into a single unified calibration process. By simultaneously determining both sets of parameters through one calibration procedure rather than separate procedures, the method achieves complete calibration while significantly reducing calibration time and operational complexity.
Solution Approach 2:
The patent performs preliminary calibration of motion error coefficients and self-gradient parameters before actual gravitational gradient measurements. This preliminary action ensures that all error sources are pre-characterized and compensated, enabling high-precision measurements without requiring repeated calibration during field operations.
2Measurement precision
If multiple calibration parameters are determined through separate calibration procedures, then calibration accuracy is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent merges multiple calibration procedures into a single integrated calibration process that simultaneously determines motion error coefficients and self-gradient parameters. This unified approach reduces the complexity of the calibration system while maintaining comprehensive calibration coverage through mathematical modeling and parameter coupling.
Solution Approach 2:
The calibration method serves multiple functions simultaneously: it calibrates motion error coefficients, determines self-gradient parameters, and validates the analytical model all in one procedure. This multi-functionality reduces the need for separate calibration systems and simplifies operational workflows.
3Measurement precision
If traditional separate calibration methods are used for motion errors and self-gradients, then parameter accuracy is improved, but ease of operation deteriorates due to site restrictions and calibration complexity
Solution Approach 1:
The patent enables the gravity gradiometer to perform self-calibration by determining its own motion error coefficients and self-gradient parameters through an integrated calibration procedure. This self-service capability eliminates the need for external calibration facilities and complex operational procedures, allowing the system to be calibrated at any location with minimal external assistance.
Solution Approach 2:
The calibration method utilizes controlled changes in motion parameters and attitude angles during the calibration process to excite different error modes and enable simultaneous determination of multiple parameters. By varying operational parameters systematically, the method achieves comprehensive calibration while simplifying the operational procedure.
Data Source
AI summary
Disclosed is a calibration method for a rotating accelerometer gravity gradiometer, wherein linear motion error coefficients, angular motion error coefficients, self-gradient model parameters and scale factors of the rotating accelerometer gravity gradiometer are calibrated once by changing linear motion, angular motion, and self-gradient excitations of the rotating accelerometer gravity gradiometer. The calibrated linear and angular motion error coefficients are used for compensating for motion errors of the gravity gradiometer online, and the calibrated self-gradient model parameters are used for self-gradient compensation. The calibration method provided by the present invention is easy to operate and not limited by any calibration site, thereby being suitable for programmed self-calibration and realizing an important engineering value.