Robust tracking and consensus control of a MEMS gyroscope multi-agent systems with H-infinity performance: A transfer function approach-Reference-Cited by-同舟云学术

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

Published:2022-11-03 Issue: Volume: Page:
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Author:

Nasir Muhammad¹,Ahmed Zahoor²,Aslam Muhammad Muzamil³,Du Liping⁴

Affiliation:

1. The University of Lahore

2. Shanghai Jiao Tong University

3. Universiti Brunei Darussalam

4. University of Science and Technology Beijing

Abstract

Abstract 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

Publisher

Research Square Platform LLC

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