Analysis and Improvement of Adaptive Control Strategies for MEMS Vibratory Gyroscope Engineering Applications

Traditional control methods for MEMS gyroscopes are unable to fully cope with short-term fluctuations and long-term drift caused by environmental factors. Adaptive control (AC) strategies as a novel operational mode of gyroscopes, known for their environmental robustness, have shown promising theoretical and simulation results. However, the challenges and potential in practical engineering implementation remain underexplored. Based on an analysis of key challenges in the engineering application process, an improved AC (IAC) method for MEMS vibratory gyroscopes is proposed. First, the impact of frequency difference fluctuations and phase errors on AC gyroscopes’ performance was analyzed through theoretical derivation and system simulation. To mitigate frequency difference fluctuations affecting long-term stability, a stiffness-adaptive electrostatic-tuning closed loop was incorporated into the traditional AC framework to track frequency drift accurately. Additionally, an automatic phase calibration algorithm, based on the bisection search, was developed to precisely identify and compensate for unknown phase errors, preventing control error divergence. Finally, the IAC framework was implemented on a field-programmable gate array (FPGA) platform to achieve AC of a MEMS quad-mass gyroscope (QMG). The experimental results indicate that automatic phase calibration is crucial for the proper operation of the IAC-based gyroscope, and the incorporation of the stiffness-adaptive closed-loop improved zero-bias stability by 40.1%, confirming the IAC method’s effectiveness and potential for similar engineering applications.