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Digital Control and Demodulation Algorithm for Compact Open-Loop Fiber-Optic Gyroscope.

Lin ChenZhao HuangYuzheng MaoBiqiang JiangJianlin Zhao
Published in: Sensors (Basel, Switzerland) (2023)
With the advantages of small size, low cost, and moderate accuracy, an open-loop fiber-optic gyroscope (FOG) has a wide range of applications around control and automation. For the most cost-sensitive applications, a simple and stable digital algorithm with a reduced control-circuit volume and cost is highly desirable to realize high-precision control of a FOG. In this work, a new algorithm for an open-loop FOG is proposed based on the discrete multi-point demodulation in the sinusoidal modulation period. Utilizing this algorithm, stable control and angular velocity calculation of a gyro are realized with effectively suppressed gyro error. The use of this algorithm greatly reduces the requirements for processing power and simplifies the gyro circuit. Based on this algorithm, a digital FOG with a volume of only 25 × 20 × 40 mm 3 achieves a bias instability of less than 0.15°/h, an angle random walk ( ARW ) of less than 0.015°/√h, a start-up time of less than 1 s, and a 3 dB bandwidth beyond 160 Hz. This low-cost, compact, and high-performance gyro is sufficient to satisfy the requirements of applications in the navigation and control fields such as unmanned driving.
Keyphrases
  • low cost
  • machine learning
  • deep learning
  • neural network
  • transcription factor
  • minimally invasive
  • optic nerve