Double closed-loop control of integrated optical resonance gyroscope with mean-square exponential stability

Area of Science:

• * Optical Engineering
• * Control Systems
• * Inertial Navigation

Background:

• * Integrated optical resonance gyroscopes (IORGs) are crucial for angular velocity sensing.
• * Existing systems face challenges from optical nonlinearities, parameter fluctuations, and system noise, impacting accuracy and dynamic response.
• * Optimization of demodulation gain, maximum sensitivity, and linear operating range is essential.

Purpose of the Study:

• * To develop a new double closed-loop control system for IORGs.
• * To enhance detection accuracy and dynamic response characteristics.
• * To investigate and mitigate the effects of optical nonlinearities and system noise.

Main Methods:

• * Proposed a double closed-loop control system with mean-square exponential stability.
• * Investigated optical nonlinear effects on system sensitivity and analyzed parameter uncertainty.
• * Established a stochastic disturbance model for the double closed-loop IORG.
• * Designed a robust control algorithm with H∞ performance.

Main Results:

• * Achieved a dynamic response time under 76µs.
• * Demonstrated long-term bias stability of 7.04°/h (10s integration, 1-hour test).
• * Obtained bias stability of 1.841°/h using Allan deviation analysis.

Conclusions:

• * The proposed double closed-loop control system significantly improves IORG performance.
• * The robust control algorithm ensures mean-square exponential stability and enhances accuracy.
• * Experimental results validate the effectiveness of the new detection scheme for high-performance angular velocity measurement.