A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems

In this study, a novel data-driven control scheme is presented for MEMS gyroscopes (MEMS-Gs). The uncertainties are tackled by suggested type-3 fuzzy system with non-singleton fuzzification (NT3FS). Besides the dynamics uncertainties, the suggested NT3FS can also handle the input measurement errors....

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Detalles Bibliográficos
Autores principales: Alattas, Khalid A., Mohammadzadeh, Ardashir, Mobayen, Saleh, Aly, Ayman A., Felemban, Bassem F., Vu, Mai The
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624928/
https://www.ncbi.nlm.nih.gov/pubmed/34832801
http://dx.doi.org/10.3390/mi12111390
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author Alattas, Khalid A.
Mohammadzadeh, Ardashir
Mobayen, Saleh
Aly, Ayman A.
Felemban, Bassem F.
Vu, Mai The
author_facet Alattas, Khalid A.
Mohammadzadeh, Ardashir
Mobayen, Saleh
Aly, Ayman A.
Felemban, Bassem F.
Vu, Mai The
author_sort Alattas, Khalid A.
collection PubMed
description In this study, a novel data-driven control scheme is presented for MEMS gyroscopes (MEMS-Gs). The uncertainties are tackled by suggested type-3 fuzzy system with non-singleton fuzzification (NT3FS). Besides the dynamics uncertainties, the suggested NT3FS can also handle the input measurement errors. The rules of NT3FS are online tuned to better compensate the disturbances. By the input-output data set a data-driven scheme is designed, and a new LMI set is presented to ensure the stability. By several simulations and comparisons the superiority of the introduced control scheme is demonstrated.
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spelling pubmed-86249282021-11-27 A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems Alattas, Khalid A. Mohammadzadeh, Ardashir Mobayen, Saleh Aly, Ayman A. Felemban, Bassem F. Vu, Mai The Micromachines (Basel) Article In this study, a novel data-driven control scheme is presented for MEMS gyroscopes (MEMS-Gs). The uncertainties are tackled by suggested type-3 fuzzy system with non-singleton fuzzification (NT3FS). Besides the dynamics uncertainties, the suggested NT3FS can also handle the input measurement errors. The rules of NT3FS are online tuned to better compensate the disturbances. By the input-output data set a data-driven scheme is designed, and a new LMI set is presented to ensure the stability. By several simulations and comparisons the superiority of the introduced control scheme is demonstrated. MDPI 2021-11-12 /pmc/articles/PMC8624928/ /pubmed/34832801 http://dx.doi.org/10.3390/mi12111390 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alattas, Khalid A.
Mohammadzadeh, Ardashir
Mobayen, Saleh
Aly, Ayman A.
Felemban, Bassem F.
Vu, Mai The
A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems
title A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems
title_full A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems
title_fullStr A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems
title_full_unstemmed A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems
title_short A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems
title_sort new data-driven control system for memss gyroscopes: dynamics estimation by type-3 fuzzy systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624928/
https://www.ncbi.nlm.nih.gov/pubmed/34832801
http://dx.doi.org/10.3390/mi12111390
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