Design approach to stabilizing controller in state space for non-driven micromechanical gyro

Zhang, Zengping; Han, Yu; Du, Hongwang; Zhang, Lijun

doi:10.1016/j.sna.2021.112798

Cited by 1 publication

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In ideal operational modes of MEMS gyroscope, modes are considered mechanically decoupled and natural frequencies must be paired. Other parameters such as coefficient of damping, the mass of the MEMS gyroscope, and natural frequencies are constant while the gyroscope's response is dependent on the angular velocity [4]. Nevertheless, sensitivity of the gyroscope is degraded due to the different factors like imperfections in the fabrication process, environmental changes which result in a change of parameters, the mechanical coupling of both axes, and several types of noises alongside axes.…”

Section: Introductionmentioning

confidence: 99%

Robust tracking and consensus control of a MEMS gyroscope multi-agent systems with H-infinity performance: A transfer function approach

Nasir

Ahmed

Aslam

et al. 2022

Preprint

View full text Add to dashboard Cite

Microelectromechanical system (MEMS) devices face unique issues of control and measurement in contrast to conventional devices due to smaller size, lower manufacturing cost, and less power utilization. A MEMS gyroscope multi-agent system is one example of a MEMS device which have many industrial applications. Despite the significant industrial applications of MEMS gyroscope multi-agent systems such as airbag filling systems, stabilization of image, etc., it faces problems of stability and performance due to the existence of external disturbances, noise, and variations in the parameters. So, designing a consensus controller in the presence of uncertainties and disturbances is a challenging task. The basic purpose of this work is to investigate the issues faced by the MEMS gyroscope multi-agent system and propose a non-linear robust tracking and consensus control technique for the drive axis of the multi-agent system MEMS gyroscope. For this purpose, a controller is designed for the robust tracking and consensus control of MEMS gyroscope multi-agent system by the combination of H∞ consensus control and dynamic surface control approaches. The proposed H∞ consensus controller minimizes the external disturbance effects, makes the drive axis achieve resonance, and a tuning method is derived to tune the output response of the drive axis to the desired level. Further, we simulated a closed-loop system to discuss the controller features. In the last part of the paper, simulation examples are presented to verify the effectiveness of the proposed controller in the presence of uncertainties

show abstract

Section: Introductionmentioning

confidence: 99%