Cold Starting Temperature Drift Modeling and Compensation of Micro-Accelerometer Based on High-Order Fourier...

Area of Science:

• Instrumentation
• Metrology
• Sensor Technology

Background:

• Traditional temperature modeling for accelerometers requires full heating, unsuitable for cold start-up.
• Cold start-up introduces complex temperature drift in micro-accelerometers.
• Understanding drift origins is crucial for developing effective compensation methods.

Purpose of the Study:

• To propose a novel temperature compensation method for micro-accelerometers during the cold start-up phase.
• To analyze the sources of complex temperature drift in the cold start-up phase.
• To verify the proposed method's effectiveness against traditional approaches.

Main Methods:

• System structure analysis and repeatability testing of a micro digital quartz flexible accelerometer.
• Development of a high-order temperature compensation model using K-means clustering and the symbiotic organisms search (SOS) algorithm.
• Experimental validation using a dedicated test platform comparing the proposed model with a time-related model.

Main Results:

• The proposed Fourier-related model demonstrated superior compensation accuracy compared to traditional and time-related models.
• Compensation for the cold start-up phase did not negatively affect the accelerometer's accuracy across the entire temperature range.
• Accelerometer stability improved significantly, reaching approximately 30 μg during the start-up phase at various temperatures.

Conclusions:

• The novel high-order Fourier transform combined model offers effective temperature drift compensation for micro-accelerometers in cold start-up conditions.
• The proposed method enhances accelerometer stability without compromising performance over the full temperature spectrum.
• This approach provides a viable solution for improving micro-accelerometer performance in challenging thermal environments.