Angle Sensor Calibration via Multi-Axis Acceleration Data
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Solution Overview
Problem
Current angle sensor calibration methods in engineering machinery fail to accurately distinguish directional accelerations, leading to undermined calibration accuracy in dynamic sensors.
Innovation Solution
An automatic calibration method and system that utilizes a turntable mechanical platform to obtain acceleration data at various test angles, constructing a calibration data model through fitting functions to determine calibrated acceleration and angle data, thereby improving calibration accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single acceleration signal corresponding to a voltage signal per individual axis and direction is used for sensor calibration, then the calibration process is simple, but the calibration accuracy is undermined due to inability to accurately distinguish directional accelerations
Solution Approach 1:
The patent transitions from single-axis calibration to multi-axis calibration by rotating the turntable mechanical platform about multiple axes (first axis, second axis, and third axis). This dimensional expansion allows the angle sensor to collect acceleration data from multiple directions, enabling accurate distinction of directional accelerations and significantly improving calibration accuracy while maintaining automated operation through systematic multi-axis rotation sequences.
2Measurement precision
If multi-axis rotation and fitting functions are used to construct calibration data models, then calibration accuracy is improved, but the calibration process becomes more complex and resource-intensive
Solution Approach 1:
The patent performs preliminary actions by pre-defining multiple fixed rotation angles on the turntable mechanical platform before actual calibration. These predetermined angles serve as preparation steps that structure the subsequent calibration process, allowing systematic collection of acceleration data at known orientations. This preliminary structuring enables efficient automated calibration execution and reduces overall calibration time despite the multi-axis complexity.
Solution Approach 2:
The patent implements feedback mechanisms through automated data collection and processing loops. The angle sensor continuously collects acceleration data at each rotation angle, compares it with expected values based on the calibration model, and adjusts the calibration parameters accordingly. This closed-loop feedback approach ensures high calibration accuracy while maintaining efficient automated operation, reducing manual intervention time.
3Productivity
If automated calibration with turntable rotation is implemented, then calibration efficiency is improved, but the system complexity and resource consumption increase
Solution Approach 1:
The patent achieves universality by designing the turntable mechanical platform to perform multiple functions: it serves as both the rotation mechanism for multi-axis calibration and the mounting structure for the angle sensor. The same platform executes rotations about the first axis, second axis, and third axis, eliminating the need for separate calibration devices and reducing overall system complexity while maintaining high automation and efficiency.
Solution Approach 2:
The angle sensor system performs self-calibration through automated data collection and processing. The sensor collects its own acceleration data at various rotation angles, the system automatically constructs calibration data models using fitting functions, and the calibration parameters are updated without external intervention. This self-service capability significantly improves calibration efficiency while minimizing the need for additional complex external equipment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the calibration accuracy of angle sensors by constructing a calibration data model using multi-axis acceleration signals, reducing resource consumption and improving efficiency in calibration processes.
Implementation Method 1
Inertial measurement units (IMUs), which comprise gyroscopes and accelerometers, are the core components of dynamic angle sensor systems
Implementation Method 2
the turntable mechanical platform being rotatable about a first axis, a second axis, and a third axis
Data Source
AI summary
A method, including: obtaining first acceleration data output by an angle sensor at each first test angle and corresponding second acceleration data which is nominal data in case where the angle sensor rotates about a first axis; obtaining third acceleration data output by the angle sensor at each second test angle and corresponding fourth acceleration data which is nominal data in case where the angle sensor rotates about a second axis in a situation that a turntable mechanical platform rotates 90 degrees about a third axis; constructing a calibration data model between output acceleration data and calibrated acceleration data, based on the first, second, third, and fourth acceleration data; determining calibrated acceleration data corresponding to acceleration data output at any angle based on the calibration data model; and obtaining a calibrated angle of the angle sensor at any angle based on the calibrated acceleration data of that angle.