Optimization of Ring Laser Gyroscope Bias Compensation Algorithm in Variable Temperature Environment.

Area of Science:

• Navigation Systems Engineering
• Optical Gyroscopes
• Thermal Analysis

Background:

• Strapdown inertial navigation systems (SINS) rely on ring laser gyroscopes (RLGs) for accurate positioning.
• RLG performance degrades due to bias drift caused by self-heating and ambient temperature fluctuations.
• Understanding RLG bias temperature drift is crucial for maintaining high accuracy in dynamic environments.

Purpose of the Study:

• To develop and validate a composite temperature calibration scheme for RLGs.
• To improve the accuracy and reliability of RLGs in SINS under varying thermal conditions.
• To provide a computationally efficient and flexible compensation method for RLG bias drift.

Main Methods:

• A composite temperature model was developed, incorporating derivative terms and cross-multipliers.
• Piecewise least squares fitting with defined overlap regions was employed.
• The model was evaluated for its ability to compensate RLG bias trends and smooth output curves.

Main Results:

• The composite temperature model effectively compensates for RLG bias trends across ambient temperatures.
• The proposed method significantly improves fitting accuracy and smooths the gyroscope's output.
• Precision improvements of 64.9%, 15.7%, and 3.6% were observed for laser gyros in a SINS.

Conclusions:

• The composite temperature calibration scheme offers a viable solution for RLG bias drift.
• The method demonstrates engineering applicability due to its computational efficiency and flexible design.
• Enhanced RLG performance translates to improved overall SINS accuracy and reliability.