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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MDPI AG
2021
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oai:doaj.org-article:4773c643473d43c284b8bb423e35bb512021-11-25T18:23:36ZA New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems10.3390/mi121113902072-666Xhttps://doaj.org/article/4773c643473d43c284b8bb423e35bb512021-11-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1390https://doaj.org/toc/2072-666XIn 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.Khalid A. AlattasArdashir MohammadzadehSaleh MobayenAyman A. AlyBassem F. FelembanMai The VuMDPI AGarticlefuzzy systemlearning algorithmMEMS gyroscopesmachine learningLMI setdata-driven controlMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1390, p 1390 (2021) |
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DOAJ |
language |
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topic |
fuzzy system learning algorithm MEMS gyroscopes machine learning LMI set data-driven control Mechanical engineering and machinery TJ1-1570 |
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fuzzy system learning algorithm MEMS gyroscopes machine learning LMI set data-driven control Mechanical engineering and machinery TJ1-1570 Khalid A. Alattas Ardashir Mohammadzadeh Saleh Mobayen Ayman A. Aly Bassem F. Felemban Mai The Vu A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems |
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. |
format |
article |
author |
Khalid A. Alattas Ardashir Mohammadzadeh Saleh Mobayen Ayman A. Aly Bassem F. Felemban Mai The Vu |
author_facet |
Khalid A. Alattas Ardashir Mohammadzadeh Saleh Mobayen Ayman A. Aly Bassem F. Felemban Mai The Vu |
author_sort |
Khalid A. Alattas |
title |
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_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_sort |
new data-driven control system for memss gyroscopes: dynamics estimation by type-3 fuzzy systems |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/4773c643473d43c284b8bb423e35bb51 |
work_keys_str_mv |
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