Title A MEMS Vibratory Gyroscope With Real-Time Mode-Matching and Robust Control for the Sense Mode
Authors He, Chunhua
Zhao, Qiancheng
Huang, Qinwen
Liu, Dachuan
Yang, Zhenchuan
Zhang, Dacheng
Yan, Guizhen
Affiliation Peking Univ, Inst Microelect, Natl Key Lab Sci & Technol Micro Nano Fabricat, Beijing 100871, Peoples R China.
Minist Ind & Informat Technol, Sci & Technol Reliabil Phys & Applicat Elect Comp, Guangzhou 510610, Guangdong, Peoples R China.
Keywords MEMS gyroscope
mode-matching
fuzzy control
neural network control
robust control
reliability
DESIGN
PERFORMANCE
Issue Date 2015
Publisher ieee sensors journal
Citation IEEE SENSORS JOURNAL.2015,15,(4),2069-2077.
Abstract This paper presents a method to accomplish automatic and real-time mode-matching control for a microelectromechanical systems vibratory gyroscope based on improved fuzzy algorithm and neural network algorithm. Meanwhile, robust control for the sense mode is applied to enhance the reliability of the closed-loop system. Experimental results demonstrate that it only needs similar to 8 s to achieve mode-matching intelligently in the improved fuzzy control system. In addition, a mismatching error <0.32 Hz is achieved over the temperature range from -40 degrees C to 80 degrees C in the neural network real-time control system, which is improved by more than one order of magnitude compared with that of once-time control system. In addition, the temperature coefficient of the zero bias is also improved to be 0.5 degrees/h/degrees C in the real-time mode-matching control system. Experimental results of phase margin, gain margin, and sensitivity margin indicate that the closed-loop system is stable and robust enough over the full temperature range. Moreover, the bandwidth and bias instability of the mode-matching gyroscope with closed-loop controlled sense mode are >85 Hz and <5 degrees/h, respectively.
URI http://hdl.handle.net/20.500.11897/151897
ISSN 1530-437X
DOI 10.1109/JSEN.2014.2371456
Indexed SCI(E)
EI
Appears in Collections: 信息科学技术学院

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