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Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach
In this paper, a bi-level Delta-Sigma modulator-based MEMS gyroscope design is presented based on a Model Predictive Control (MPC) approach. The MPC is popular because of its capability of handling hard constraints. In this work, we propose to combine the 1-bit nature of the bi-level Delta-Sigma mod...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386887/ https://www.ncbi.nlm.nih.gov/pubmed/30754688 http://dx.doi.org/10.3390/s19030730 |
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author | Wu, Xiaofeng Xie, Zhicheng Bai, Xueliang Kwan, Trevor |
author_facet | Wu, Xiaofeng Xie, Zhicheng Bai, Xueliang Kwan, Trevor |
author_sort | Wu, Xiaofeng |
collection | PubMed |
description | In this paper, a bi-level Delta-Sigma modulator-based MEMS gyroscope design is presented based on a Model Predictive Control (MPC) approach. The MPC is popular because of its capability of handling hard constraints. In this work, we propose to combine the 1-bit nature of the bi-level Delta-Sigma modulator output with the MPC to develop a 1-bit processing-based MPC (OBMPC). This paper will focus on the affine relationship between the 1-bit feedback and the in-loop MPC controller, as this can potentially remove the multipliers from the controller. In doing so, the computational requirement of the MPC control is significantly alleviated, which makes the 1-bit MEMS Gyroscope feasible for implementation. In addition, a stable constrained MPC is designed, so that the input will not overload the quantizer while maintaining a higher Signal-to-Noise Ratio (SNR). |
format | Online Article Text |
id | pubmed-6386887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63868872019-02-26 Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach Wu, Xiaofeng Xie, Zhicheng Bai, Xueliang Kwan, Trevor Sensors (Basel) Article In this paper, a bi-level Delta-Sigma modulator-based MEMS gyroscope design is presented based on a Model Predictive Control (MPC) approach. The MPC is popular because of its capability of handling hard constraints. In this work, we propose to combine the 1-bit nature of the bi-level Delta-Sigma modulator output with the MPC to develop a 1-bit processing-based MPC (OBMPC). This paper will focus on the affine relationship between the 1-bit feedback and the in-loop MPC controller, as this can potentially remove the multipliers from the controller. In doing so, the computational requirement of the MPC control is significantly alleviated, which makes the 1-bit MEMS Gyroscope feasible for implementation. In addition, a stable constrained MPC is designed, so that the input will not overload the quantizer while maintaining a higher Signal-to-Noise Ratio (SNR). MDPI 2019-02-11 /pmc/articles/PMC6386887/ /pubmed/30754688 http://dx.doi.org/10.3390/s19030730 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Xiaofeng Xie, Zhicheng Bai, Xueliang Kwan, Trevor Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach |
title | Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach |
title_full | Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach |
title_fullStr | Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach |
title_full_unstemmed | Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach |
title_short | Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach |
title_sort | design of a 1-bit mems gyroscope using the model predictive control approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386887/ https://www.ncbi.nlm.nih.gov/pubmed/30754688 http://dx.doi.org/10.3390/s19030730 |
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