Precise Rotational Rate Tracker

Measurement device for rotational rate

This ambitious project is centered on the development of an ultra-precise rotational rate tracker, capable of achieving a remarkable precision level of 0.005 degrees per second. The challenge lies in leveraging off-the-shelf, low-cost inertial measurement units (IMUs) that traditionally offer limited accuracy. By innovatively combining multiple gyroscopes and employing advanced signal processing techniques, this project aims to set a new benchmark in precision rotational tracking.

Core Components:

  • Triple Gyroscope Integration:
  • Incorporates three distinct types of gyroscopes, each contributing to a broader range of sensitivity and accuracy.

  • High-Precision IMUs:
  • Utilizes off-the-shelf IMUs, enhancing their performance through sophisticated data fusion and filtering techniques.

Data Processing and Noise Reduction:

  • Kalman Filter Implementation:
  • Fuses the signals from the three gyroscopes, employing Kalman Filters to optimize the accuracy of the rotational rate measurement.

  • Advanced Filtering Stages:
  • Includes several layers of filtering to refine the readings and reduce noise, ensuring ultra-precise output.

  • Signal Analysis via Fourier Transform and Frequency Spectrum Analysis:
  • Conducts thorough noise analysis to identify and mitigate sources of interference, further enhancing the fidelity of the measurements.

Orientation and Angle Compensation:

  • Mahony Filter Integration:
  • Fuses gyroscope and accelerometer readings using a Mahony filter, adeptly calculating Euler angles and dynamically compensating the readings based on angular changes.

Innovations and Technical Enhancements:

  • Precision Engineering:
  • Achieves an unprecedented level of precision in rotational rate measurement, pushing the boundaries of what's possible with conventional IMU technology.

  • Robust Signal Fusion and Analysis:
  • Employs state-of-the-art signal processing techniques, including Kalman and Mahony filters, to extract and refine data from multiple sensor inputs.

  • Comprehensive Noise Analysis:
  • Utilizes sophisticated methods like Fourier Transform and Frequency Spectrum Analysis to systematically identify and eliminate noise, ensuring the purity and accuracy of the data.