Ren Jingbo, Zhou Tong, Zhou Yi, Li Yixuan, Su Yan
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210000 China.
Microsyst Nanoeng. 2024 May 24;10:67. doi: 10.1038/s41378-024-00695-4. eCollection 2024.
Mismatching quality factors (Q-factors) is one of the main factors causing zero-rate output (ZRO) in degenerate (DE) Micro-Electro-Mechanical Systems (MEMS) vibratory gyroscopes. To eliminate the ZRO of the DE MEMS gyroscope, this study introduces a method for real-time identification and automatic matching of Q-factors in rate mode. By leveraging the vibration characteristics of the DE MEMS vibratory gyroscope in rate mode, dedicated online test methods are designed to determine the Q-factors for both the drive and sense modes, enabling online identification of the Q-factor mismatching. Furthermore, an automatic Q-factor matching system is designed utilizing the mechanical-thermal dissipation mechanism of the resistive damper. The effectiveness of this proposed method is validated through simulations and experiments conducted on a MEMS disk resonator gyroscope (DRG). The results show a measurement error within 4% for Q-factor identification, and automatic Q-factor matching effectively reduces the ZRO by 77%. Employing this automatic Q-factor matching method successfully reduces the ZRO that is caused by the mismatching of Q-factors in the MEMS DRG from 0.11°/s to 0.025°/s and improves the bias instability (BI) from 0.40°/s to 0.19°/s.
品质因数(Q 因子)不匹配是导致简并(DE)微机电系统(MEMS)振动陀螺仪零速率输出(ZRO)的主要因素之一。为消除 DE MEMS 陀螺仪的 ZRO,本研究介绍了一种在速率模式下实时识别和自动匹配 Q 因子的方法。通过利用 DE MEMS 振动陀螺仪在速率模式下的振动特性,设计了专门的在线测试方法来确定驱动模式和敏感模式的 Q 因子,从而实现 Q 因子不匹配的在线识别。此外,利用电阻阻尼器的机械热耗散机制设计了自动 Q 因子匹配系统。通过在 MEMS 盘式谐振器陀螺仪(DRG)上进行的仿真和实验验证了该方法的有效性。结果表明,Q 因子识别的测量误差在 4%以内,自动 Q 因子匹配有效地将 ZRO 降低了 77%。采用这种自动 Q 因子匹配方法成功地将 MEMS DRG 中由 Q 因子不匹配引起的 ZRO 从 0.11°/s 降低到 0.025°/s,并将偏置不稳定性(BI)从 0.40°/s 提高到 0.19°/s。