Coaxial Angular Velocity Sensor with Kalman Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing angular velocity sensors face challenges in achieving high accuracy and reducing errors, particularly due to limitations in materials, manufacturing complexity, and high costs, as well as inadequate processor hardware design and noise reduction in long-time applications.
Innovation Solution
A coaxial angular velocity sensor system is designed with multiple gyroscopes arranged coaxially and in the same plane, combined with a signal processing algorithm that includes a Kalman Observer and a compact hardware module featuring a microcontroller, analog to digital converter, and temperature sensor, all protected by an anti-electromagnetic housing, to reduce high-frequency interference and angular drift.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple gyroscopes are combined in one axis to increase sensor output, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the measurement function into multiple independent gyroscope sensors arranged coaxially, with each sensor contributing to the overall measurement. The segmentation of sensing elements allows error reduction through statistical averaging while maintaining a manageable system architecture through modular arrangement.
Solution Approach 2:
Multiple gyroscope sensors are merged into a single coaxial assembly sharing common mechanical support and electrical connection infrastructure. The combining of multiple sensors with identical measurement axes enables error cancellation while the shared structure minimizes the increase in device complexity.
2Measurement precision
If signal processing algorithm is used to reduce high-frequency interference and angular drift, then measurement precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary filtering of high-frequency interference through hardware low-pass filters before digital processing, and pre-calculates correction factors for known error sources. This preliminary action reduces the computational burden during real-time operation, maintaining precision while minimizing processing time.
Solution Approach 2:
The signal processing algorithm continuously monitors sensor output and applies real-time corrections based on detected error patterns. The feedback mechanism adjusts measurements dynamically, reducing angular drift and high-frequency noise while maintaining fast response through optimized calculation loops.
Data Source
AI summary
The Coaxial Angular Velocity Sensor System is an electronic sensor, which processes and supplies the output signal of the inertial angular velocity with high accuracy and great reliability. The device consists of the main components: angular velocity sensor, analog-digital converter, microcontroller, temperature sensor, power source, mechanical anti-noise-proof chassis. The device's microprocessor comes with a signal processing algorithm that helps increase the accuracy of the device's output. Because of its compact size, high precision, and low cost, the device is used in high precision devices such as UAV cameras, or in life applications such as self-balancing vehicles.