Fractional-Order Identification of Gyroscope MEMS Noise Under Various Temperature Conditions

Area of Science:

• * Electrical Engineering
• * Mechanical Engineering
• * Sensor Technology

Background:

• * Micro-Electro-Mechanical Systems (MEMS) gyroscopes are crucial for measuring angular velocity.
• * MEMS sensor measurements are often affected by random walk, biases, and noise.
• * Understanding noise parameters is vital for accurate sensor performance.

Purpose of the Study:

• * To identify fractional-order noise parameters for MEMS gyroscopes.
• * To investigate the relationship between fractional noise models and ambient temperature.
• * To analyze the impact of temperature variations on MEMS gyroscope noise dynamics.

Main Methods:

• * Application of variance and correlation analysis.
• * Utilization of introduced estimation analysis methods.
• * Experimental data collection under diverse ambient temperatures within a climate chamber.

Main Results:

• * Successful determination of fractional-order noise parameters for MEMS gyroscopes.
• * Quantification of the influence of varying temperatures on these noise parameters.
• * Establishment of a link between fractional noise dynamics and environmental temperature.

Conclusions:

• * Fractional-order noise parameters in MEMS gyroscopes are temperature-dependent.
• * The study provides a method for characterizing MEMS gyroscope noise under different thermal conditions.
• * Accurate noise parameter identification enhances the reliability of MEMS inertial measurement units (IMUs).