2020
DOI: 10.3390/s20226455
|View full text |Cite
|
Sign up to set email alerts
|

First-Order Linear Mechatronics Model for Closed-Loop MEMS Disk Resonator Gyroscope

Abstract: In this paper, a first-order closed-loop mechatronics model of a micro-electromechanical system (MEMS) disk resonator gyroscope (DRG) with a configurable ASIC is established for closed-loop design and performance analysis. There are usually some nonlinear modules in the gyroscope mechatronics model, and it is difficult to design the closed-loop controllers using classical automatic control theory. An order-reduction method (ORM) based on the Laplace transform and inverse Laplace transform is proposed to linear… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 26 publications
0
1
0
Order By: Relevance
“…Thus, for the gyroscope sense mode, typical strategies include the open loop [10], forcerebalance closed loop with quadrature stiffness nulling [11] and force-rebalance closed loop with quadrature force correction [12]. Considering the complex and mutually coupling control loops in the gyroscope system, several advanced control theories including the periodic averaging method [13,14], zero-pole cancellation method [15] and order-reduction linearization method [16] can be adopted to simplify the system design and optimization.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, for the gyroscope sense mode, typical strategies include the open loop [10], forcerebalance closed loop with quadrature stiffness nulling [11] and force-rebalance closed loop with quadrature force correction [12]. Considering the complex and mutually coupling control loops in the gyroscope system, several advanced control theories including the periodic averaging method [13,14], zero-pole cancellation method [15] and order-reduction linearization method [16] can be adopted to simplify the system design and optimization.…”
Section: Introductionmentioning
confidence: 99%