MEMS Gyroscope Temperature Compensation Based on Improved Complete Ensemble Empirical Mode Decomposition and...

Area of Science:

• * MEMS (Micro-Electro-Mechanical Systems) technology
• * Sensor signal processing
• * Inertial navigation systems

Background:

• * MEMS gyroscopes are susceptible to temperature variations, affecting their performance.
• * Accurate temperature compensation is crucial for reliable gyroscope operation in various applications.
• * Existing compensation methods may struggle with complex noise and drift patterns.

Purpose of the Study:

• * To develop and validate a novel hybrid algorithm for temperature compensation in dual-mass MEMS gyroscopes.
• * To enhance gyroscope accuracy by effectively addressing temperature-induced drift and noise.
• * To demonstrate the algorithm's superior performance compared to conventional methods.

Main Methods:

• * Proposed a hybrid algorithm combining improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), sample entropy, time-frequency peak filtering, non-dominated sorting genetic algorithm-II (NSGA II), and extreme learning machine (ELM).
• * Utilized ICEEMDAN for signal decomposition, sample entropy for classification, and time-frequency peak filtering for noise reduction.
• * Employed NSGA II to optimize ELM for temperature drift compensation, minimizing prediction error and weight norm.

Main Results:

• * The hybrid algorithm effectively decomposed, classified, denoised, and compensated the gyroscope output signal.
• * Angle random walk was reduced from 0.531076°/h/√Hz to 6.65894 × 10^-3°/h/√Hz.
• * Bias stability improved significantly, decreasing from 32.7364°/h to 0.259247°/h.

Conclusions:

• * The proposed hybrid algorithm offers a robust and effective solution for temperature compensation in dual-mass MEMS gyroscopes.
• * The method achieves a favorable trade-off between noise removal and signal retention while accurately modeling temperature drift.
• * Significant improvements in gyroscope performance metrics demonstrate the practical viability of the developed compensation scheme.