An improved driving control method for micro-machined vibratory gyroscope

Xin Su, Lixin Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Micro-machined vibratory gyroscope (MMVG) has been used in a wide range of consumer electronics, automotive and aerospace, due to miniaturization, mass production and other advantages. However, the performance and precision of MMVG are affected by the mechanical thermal noise, the Coriolis force of the driving mode coupled by the sensing mode, the quadrature error and the coupling damping. It is necessary to establish the more realistic gyroscope structural model and improve the closed-loop driving control. In this paper, the structural model of MMVG which can describe the mechanical thermal noise, the quadrature error and the coupling damping is proposed firstly. For the proposed gyroscope model, the closed-loop driving control based on the variable structure PID algorithm is applied to improve the performance of MMVG. The simulation results show that the variable structure PID controller can fulfill the requirements of the rapid start-up and the overshoot reducing. The control system can stabilize the amplitude and track the resonant frequency of the driving mode. It is important for the applications of MMVG.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages527-532
Number of pages6
ISBN (Electronic)9781538660720
DOIs
Publication statusPublished - 5 Oct 2018
Event15th IEEE International Conference on Mechatronics and Automation, ICMA 2018 - Changchun, China
Duration: 5 Aug 20188 Aug 2018

Publication series

NameProceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018

Conference

Conference15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
Country/TerritoryChina
CityChangchun
Period5/08/188/08/18

Keywords

  • Driving control
  • MMVG
  • Structural model
  • Variable structure PID

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