Inclination Sensor Calibration Using Gravity Projection Matrices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing inclination sensors in motorized two-wheeled vehicles, particularly those using MEMS accelerometers, require individual calibration to ensure accurate measurement of lateral inclination, which is time-consuming and costly.
Innovation Solution
A method and device for calibrating MEMS accelerometers by computing a projection matrix between the intrinsic reference frame of the sensor and the vehicle's reference frame using multiple vehicles' gravity projections at different angles, allowing for efficient and standardized calibration without individual vehicle adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual calibration is performed for each vehicle, then measurement precision is improved, but productivity deteriorates
Solution Approach 1:
The patent applies universality by creating a common calibration procedure that can be applied to multiple vehicles of the same model simultaneously. The calibration device records inclination data from multiple vehicles and computes a single projection matrix that serves all vehicles, eliminating the need for individual calibration while maintaining measurement precision through statistical aggregation of multiple measurements.
Solution Approach 2:
The patent merges the calibration processes of multiple vehicles by collecting inclination data from several vehicles at different angles and combining these measurements into a single projection matrix computation. This consolidation allows one calibration operation to benefit multiple vehicles, significantly improving productivity while preserving accuracy through the combined dataset.
2Measurement precision
If mechanical inclination sensors are used, then measurement precision is improved, but device complexity worsens
Solution Approach 1:
The patent replaces mechanical inclination sensors with electronic MEMS accelerometers. The mechanical sensors with moving weights and electrical contacts are substituted by electronic sensors that measure gravity projection along three axes. This substitution reduces device complexity, eliminates mechanical wear, while maintaining measurement precision through computational processing of the electronic sensor data.
3Device complexity
If MEMS accelerometer sensors are used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent addresses the precision issue of MEMS accelerometers by changing the calibration parameters approach. Instead of relying on perfect sensor alignment, the invention introduces calibration parameters (projection matrix elements) that mathematically compensate for misalignment. By measuring at multiple known inclination angles and computing transformation parameters, the system achieves high measurement precision despite the simplicity and installation flexibility of MEMS sensors.
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
Enables quick and accurate calibration of inclination sensors across multiple vehicles, ensuring precise inclination angle measurements and reducing the need for time-consuming individual calibrations.
Implementation Method 1
the inclination sensor being configured to determine the projection of the earth's gravity over three axes of an intrinsic reference frame of the inclination sensor
Data Source
AI summary
A method for calibrating an inclination sensor for a two-wheeled vehicle, including: selecting a two-wheeled vehicle including the inclination sensor to be calibrated; inclining the vehicle at a first determined lateral inclination angle; recording the value of the projection of the earth's gravity over the three axes; inclining the vehicle at a second predetermined lateral inclination angle; recording the value of the projection of the earth's gravity over the three axes; computing a projection matrix between the intrinsic reference frame of the inclination sensor and the reference frame specific to the vehicle based on the projection of the earth's gravity over the three axes of the intrinsic reference frame and the reference frame of the vehicle; and recording the projection matrix computed for each vehicle.