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Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS
This paper aims to deal with the problem of rotor position estimation and compensation for a magnetically suspended flywheel energy storage system under the consideration of measurement noise and unknown disturbances. First, the flywheel system working principle and description are analyzed and, bas...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111783/ https://www.ncbi.nlm.nih.gov/pubmed/30061521 http://dx.doi.org/10.3390/s18082467 |
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author | Li, Shusheng Fu, Yongling Liu, Ping |
author_facet | Li, Shusheng Fu, Yongling Liu, Ping |
author_sort | Li, Shusheng |
collection | PubMed |
description | This paper aims to deal with the problem of rotor position estimation and compensation for a magnetically suspended flywheel energy storage system under the consideration of measurement noise and unknown disturbances. First, the flywheel system working principle and description are analyzed and, based on this, the mathematical model as well as the coordinates transformation are introduced. For the purpose of the state estimation, a two-step extended sliding-mode observer is considered to obtain the estimates of the rotor angular position. In this control strategy, a traditional sliding-mode observer is adopted as a first-step original state estimator. After that, the relationship between the angular position and the estimation error is established and a second-step observer is designed to obtain the estimation of the error. The estimated error is then used to compensate the real values of the rotor angular position generated by the first-step observer. To reject the influences of the measurement noise and unknown disturbances, the H(∞) optimization strategy is considered to determine the second-step observer structure. Finally, experimental results are presented to demonstrate the effectiveness of the proposed method. It is demonstrated that the proposed two-step observer method has a better estimation accuracy and control performance. |
format | Online Article Text |
id | pubmed-6111783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61117832018-08-30 Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS Li, Shusheng Fu, Yongling Liu, Ping Sensors (Basel) Article This paper aims to deal with the problem of rotor position estimation and compensation for a magnetically suspended flywheel energy storage system under the consideration of measurement noise and unknown disturbances. First, the flywheel system working principle and description are analyzed and, based on this, the mathematical model as well as the coordinates transformation are introduced. For the purpose of the state estimation, a two-step extended sliding-mode observer is considered to obtain the estimates of the rotor angular position. In this control strategy, a traditional sliding-mode observer is adopted as a first-step original state estimator. After that, the relationship between the angular position and the estimation error is established and a second-step observer is designed to obtain the estimation of the error. The estimated error is then used to compensate the real values of the rotor angular position generated by the first-step observer. To reject the influences of the measurement noise and unknown disturbances, the H(∞) optimization strategy is considered to determine the second-step observer structure. Finally, experimental results are presented to demonstrate the effectiveness of the proposed method. It is demonstrated that the proposed two-step observer method has a better estimation accuracy and control performance. MDPI 2018-07-30 /pmc/articles/PMC6111783/ /pubmed/30061521 http://dx.doi.org/10.3390/s18082467 Text en © 2018 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 Li, Shusheng Fu, Yongling Liu, Ping Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS |
title | Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS |
title_full | Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS |
title_fullStr | Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS |
title_full_unstemmed | Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS |
title_short | Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS |
title_sort | position estimation and compensation based on a two-step extended sliding-mode observer for a msfess |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111783/ https://www.ncbi.nlm.nih.gov/pubmed/30061521 http://dx.doi.org/10.3390/s18082467 |
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