TY - GEN
T1 - An improved driving control method for micro-machined vibratory gyroscope
AU - Su, Xin
AU - Xu, Lixin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/5
Y1 - 2018/10/5
N2 - 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.
AB - 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.
KW - Driving control
KW - MMVG
KW - Structural model
KW - Variable structure PID
UR - http://www.scopus.com/inward/record.url?scp=85056325532&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2018.8484599
DO - 10.1109/ICMA.2018.8484599
M3 - Conference contribution
AN - SCOPUS:85056325532
T3 - Proceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
SP - 527
EP - 532
BT - Proceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
Y2 - 5 August 2018 through 8 August 2018
ER -