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Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation
In this paper, we study the finite-time stability of permanent magnet synchronous motors (PMSMs) with noise perturbation. To eliminate the chaos in a PMSM and allow it to reach a steady state more quickly within a finite time, we propose a novel adaptive controller based on finite-time control theor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222964/ https://www.ncbi.nlm.nih.gov/pubmed/35741512 http://dx.doi.org/10.3390/e24060791 |
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author | Ma, Caoyuan Shi, Hongjun Nie, Pingping Wu, Jiaming |
author_facet | Ma, Caoyuan Shi, Hongjun Nie, Pingping Wu, Jiaming |
author_sort | Ma, Caoyuan |
collection | PubMed |
description | In this paper, we study the finite-time stability of permanent magnet synchronous motors (PMSMs) with noise perturbation. To eliminate the chaos in a PMSM and allow it to reach a steady state more quickly within a finite time, we propose a novel adaptive controller based on finite-time control theory. Finite-time stability implies optimal convergence time and better robustness. Finally, numerical simulations are performed to demonstrate the effectiveness and feasibility of our new results. |
format | Online Article Text |
id | pubmed-9222964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92229642022-06-24 Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation Ma, Caoyuan Shi, Hongjun Nie, Pingping Wu, Jiaming Entropy (Basel) Article In this paper, we study the finite-time stability of permanent magnet synchronous motors (PMSMs) with noise perturbation. To eliminate the chaos in a PMSM and allow it to reach a steady state more quickly within a finite time, we propose a novel adaptive controller based on finite-time control theory. Finite-time stability implies optimal convergence time and better robustness. Finally, numerical simulations are performed to demonstrate the effectiveness and feasibility of our new results. MDPI 2022-06-06 /pmc/articles/PMC9222964/ /pubmed/35741512 http://dx.doi.org/10.3390/e24060791 Text en © 2022 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 Ma, Caoyuan Shi, Hongjun Nie, Pingping Wu, Jiaming Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation |
title | Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation |
title_full | Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation |
title_fullStr | Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation |
title_full_unstemmed | Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation |
title_short | Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation |
title_sort | finite-time stochastic stability analysis of permanent magnet synchronous motors with noise perturbation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222964/ https://www.ncbi.nlm.nih.gov/pubmed/35741512 http://dx.doi.org/10.3390/e24060791 |
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