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Decoupling Suspension Controller Based on Magnetic Flux Feedback
The suspension module control system model has been established based on MIMO (multiple input and multiple output) state feedback linearization. We have completed decoupling between double suspension points, and the new decoupling method has been applied to CMS04 magnetic suspension vehicle in natio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693171/ https://www.ncbi.nlm.nih.gov/pubmed/23844415 http://dx.doi.org/10.1155/2013/956790 |
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author | Zhang, Wenqing Li, Jie Zhang, Kun Cui, Peng |
author_facet | Zhang, Wenqing Li, Jie Zhang, Kun Cui, Peng |
author_sort | Zhang, Wenqing |
collection | PubMed |
description | The suspension module control system model has been established based on MIMO (multiple input and multiple output) state feedback linearization. We have completed decoupling between double suspension points, and the new decoupling method has been applied to CMS04 magnetic suspension vehicle in national mid-low-speed maglev experiment field of Tangshan city in China. Double suspension system model is very accurate for investigating stability property of maglev control system. When magnetic flux signal is taken back to the suspension control system, the suspension module's antijamming capacity for resisting suspension load variety has been proved. Also, the external force interference has been enhanced. As a result, the robustness and stability properties of double-electromagnet suspension control system have been enhanced. |
format | Online Article Text |
id | pubmed-3693171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-36931712013-07-09 Decoupling Suspension Controller Based on Magnetic Flux Feedback Zhang, Wenqing Li, Jie Zhang, Kun Cui, Peng ScientificWorldJournal Research Article The suspension module control system model has been established based on MIMO (multiple input and multiple output) state feedback linearization. We have completed decoupling between double suspension points, and the new decoupling method has been applied to CMS04 magnetic suspension vehicle in national mid-low-speed maglev experiment field of Tangshan city in China. Double suspension system model is very accurate for investigating stability property of maglev control system. When magnetic flux signal is taken back to the suspension control system, the suspension module's antijamming capacity for resisting suspension load variety has been proved. Also, the external force interference has been enhanced. As a result, the robustness and stability properties of double-electromagnet suspension control system have been enhanced. Hindawi Publishing Corporation 2013-06-11 /pmc/articles/PMC3693171/ /pubmed/23844415 http://dx.doi.org/10.1155/2013/956790 Text en Copyright © 2013 Wenqing Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Wenqing Li, Jie Zhang, Kun Cui, Peng Decoupling Suspension Controller Based on Magnetic Flux Feedback |
title | Decoupling Suspension Controller Based on Magnetic Flux Feedback |
title_full | Decoupling Suspension Controller Based on Magnetic Flux Feedback |
title_fullStr | Decoupling Suspension Controller Based on Magnetic Flux Feedback |
title_full_unstemmed | Decoupling Suspension Controller Based on Magnetic Flux Feedback |
title_short | Decoupling Suspension Controller Based on Magnetic Flux Feedback |
title_sort | decoupling suspension controller based on magnetic flux feedback |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693171/ https://www.ncbi.nlm.nih.gov/pubmed/23844415 http://dx.doi.org/10.1155/2013/956790 |
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