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An integrated scheme of speed control and vibration suppression for spiral spring energy storage system driven by PMSM based on backstepping control with minimum electrical loss
The operational performance of the spiral spring energy storage system is affected by the vibration of the spiral spring and the electrical loss of the permanent magnet synchronous motor. It is important to eliminate vibration and reduce electrical loss. A unified control scenario for speed regulati...
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Published in: | Advances in mechanical engineering 2020-03, Vol.12 (3), p.168781402091377 |
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description | The operational performance of the spiral spring energy storage system is affected by the vibration of the spiral spring and the electrical loss of the permanent magnet synchronous motor. It is important to eliminate vibration and reduce electrical loss. A unified control scenario for speed regulation and vibration suppression based on the minimum electrical loss is proposed. First, the spiral spring is equivalent to an Euler–Bernoulli beam and its dynamic model suitable for control is established via the Lagrange equation. Then, the unified control scenario is proposed through nonlinear backstepping control. The speed controller and current controller including modal vibration suppression and minimum electrical loss operation of the system are established, and the stability of the controller is theoretically proved. Moreover, for unknown vibration mode of the spiral spring, a vibration mode–based estimation method with the least-squares algorithm is designed. Aiming at the uncertainty of the permanent magnet synchronous motor’s iron loss resistance, an estimation algorithm based on an adaptive neural fuzzy inference system is designed. The experimental results verify the correctness and effectiveness of the proposed control scheme. In comparison with traditional backstepping control, the proposed control method can effectively suppress the vibration of the spiral spring and realize the stable and highly efficient energy storage operation of the system. |
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It is important to eliminate vibration and reduce electrical loss. A unified control scenario for speed regulation and vibration suppression based on the minimum electrical loss is proposed. First, the spiral spring is equivalent to an Euler–Bernoulli beam and its dynamic model suitable for control is established via the Lagrange equation. Then, the unified control scenario is proposed through nonlinear backstepping control. The speed controller and current controller including modal vibration suppression and minimum electrical loss operation of the system are established, and the stability of the controller is theoretically proved. Moreover, for unknown vibration mode of the spiral spring, a vibration mode–based estimation method with the least-squares algorithm is designed. Aiming at the uncertainty of the permanent magnet synchronous motor’s iron loss resistance, an estimation algorithm based on an adaptive neural fuzzy inference system is designed. The experimental results verify the correctness and effectiveness of the proposed control scheme. In comparison with traditional backstepping control, the proposed control method can effectively suppress the vibration of the spiral spring and realize the stable and highly efficient energy storage operation of the system.</description><identifier>ISSN: 1687-8132</identifier><identifier>ISSN: 1687-8140</identifier><identifier>EISSN: 1687-8140</identifier><identifier>DOI: 10.1177/1687814020913777</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adaptive algorithms ; Adaptive systems ; Artificial neural networks ; Control stability ; Controllers ; Core loss ; Dynamic models ; Energy storage ; Euler-Bernoulli beams ; Euler-Lagrange equation ; Fuzzy logic ; Fuzzy systems ; Nonlinear control ; Permanent magnets ; Speed control ; Spiral springs ; Synchronous motors ; Vibration control ; Vibration mode</subject><ispartof>Advances in mechanical engineering, 2020-03, Vol.12 (3), p.168781402091377</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is licensed under the Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c370t-c297dfc314068590ad498f027eab9c480c07d38c8418051c049a8760b26d23b63</cites><orcidid>0000-0002-3856-0535</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2384741681/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2384741681?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,21966,25753,27853,27924,27925,37012,44590,44945,45333,75126</link.rule.ids></links><search><creatorcontrib>Yu, Yang</creatorcontrib><creatorcontrib>Tian, Xia</creatorcontrib><creatorcontrib>Jia, Yulong</creatorcontrib><creatorcontrib>Cong, Leyao</creatorcontrib><creatorcontrib>Mi, Zengqiang</creatorcontrib><creatorcontrib>Fan, Zhen</creatorcontrib><title>An integrated scheme of speed control and vibration suppression for spiral spring energy storage system driven by PMSM based on backstepping control with minimum electrical loss</title><title>Advances in mechanical engineering</title><description>The operational performance of the spiral spring energy storage system is affected by the vibration of the spiral spring and the electrical loss of the permanent magnet synchronous motor. It is important to eliminate vibration and reduce electrical loss. A unified control scenario for speed regulation and vibration suppression based on the minimum electrical loss is proposed. First, the spiral spring is equivalent to an Euler–Bernoulli beam and its dynamic model suitable for control is established via the Lagrange equation. Then, the unified control scenario is proposed through nonlinear backstepping control. The speed controller and current controller including modal vibration suppression and minimum electrical loss operation of the system are established, and the stability of the controller is theoretically proved. Moreover, for unknown vibration mode of the spiral spring, a vibration mode–based estimation method with the least-squares algorithm is designed. Aiming at the uncertainty of the permanent magnet synchronous motor’s iron loss resistance, an estimation algorithm based on an adaptive neural fuzzy inference system is designed. The experimental results verify the correctness and effectiveness of the proposed control scheme. In comparison with traditional backstepping control, the proposed control method can effectively suppress the vibration of the spiral spring and realize the stable and highly efficient energy storage operation of the system.</description><subject>Adaptive algorithms</subject><subject>Adaptive systems</subject><subject>Artificial neural networks</subject><subject>Control stability</subject><subject>Controllers</subject><subject>Core loss</subject><subject>Dynamic models</subject><subject>Energy storage</subject><subject>Euler-Bernoulli beams</subject><subject>Euler-Lagrange equation</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Nonlinear control</subject><subject>Permanent magnets</subject><subject>Speed control</subject><subject>Spiral springs</subject><subject>Synchronous motors</subject><subject>Vibration control</subject><subject>Vibration mode</subject><issn>1687-8132</issn><issn>1687-8140</issn><issn>1687-8140</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1Uctu1TAQjRBIVG33LC2xDowTJ7aXVcWjUisqAevIdiapS2IH27foflb_kLlcKBISqxkfnYdnpqpecXjDuZRvea-k4gIa0LyVUj6rTg5QfcCeP_Vt87I6z9lb6KAH6LU-qR4vAvOh4JxMwZFld4crsjixvCG9XQwlxYWZMLIHb4nkY2B5t20JyYn6KSbi-mQWKsmHmWHANO9ZLjGZGVne54IrG5N_wMDsnt3efL5h1mSyJ7017hsRtu0g_RP3w5c7tvrg193KcEFXkneUsMScz6oXk1kynv-up9XX9---XH6srz99uLq8uK5dK6HUrtFynFxLG-hVp8GMQqsJGonGaicUOJBjq5wSXEHHHQhtlOzBNv3YtLZvT6uro-8Yzf1Ao60m7Ydo_PALiGkeTCreLTiMXWc72U2600JoobWZLBhEZ1FK3QJ5vT56bSl-32Euw33cpUDfH5pWCSnoQpxYcGS5RHMmnJ5SOQyHOw__3pkk9VGSadV_Tf_L_wlYx6pf</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Yu, Yang</creator><creator>Tian, Xia</creator><creator>Jia, Yulong</creator><creator>Cong, Leyao</creator><creator>Mi, Zengqiang</creator><creator>Fan, Zhen</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><general>SAGE Publishing</general><scope>AFRWT</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3856-0535</orcidid></search><sort><creationdate>202003</creationdate><title>An integrated scheme of speed control and vibration suppression for spiral spring energy storage system driven by PMSM based on backstepping control with minimum electrical loss</title><author>Yu, Yang ; Tian, Xia ; Jia, Yulong ; Cong, Leyao ; Mi, Zengqiang ; Fan, Zhen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-c297dfc314068590ad498f027eab9c480c07d38c8418051c049a8760b26d23b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptive algorithms</topic><topic>Adaptive systems</topic><topic>Artificial neural networks</topic><topic>Control stability</topic><topic>Controllers</topic><topic>Core loss</topic><topic>Dynamic models</topic><topic>Energy storage</topic><topic>Euler-Bernoulli beams</topic><topic>Euler-Lagrange equation</topic><topic>Fuzzy logic</topic><topic>Fuzzy systems</topic><topic>Nonlinear control</topic><topic>Permanent magnets</topic><topic>Speed control</topic><topic>Spiral springs</topic><topic>Synchronous motors</topic><topic>Vibration control</topic><topic>Vibration mode</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Yang</creatorcontrib><creatorcontrib>Tian, Xia</creatorcontrib><creatorcontrib>Jia, Yulong</creatorcontrib><creatorcontrib>Cong, Leyao</creatorcontrib><creatorcontrib>Mi, Zengqiang</creatorcontrib><creatorcontrib>Fan, Zhen</creatorcontrib><collection>SAGE Open Access</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Advances in mechanical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Yang</au><au>Tian, Xia</au><au>Jia, Yulong</au><au>Cong, Leyao</au><au>Mi, Zengqiang</au><au>Fan, Zhen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An integrated scheme of speed control and vibration suppression for spiral spring energy storage system driven by PMSM based on backstepping control with minimum electrical loss</atitle><jtitle>Advances in mechanical engineering</jtitle><date>2020-03</date><risdate>2020</risdate><volume>12</volume><issue>3</issue><spage>168781402091377</spage><pages>168781402091377-</pages><issn>1687-8132</issn><issn>1687-8140</issn><eissn>1687-8140</eissn><abstract>The operational performance of the spiral spring energy storage system is affected by the vibration of the spiral spring and the electrical loss of the permanent magnet synchronous motor. It is important to eliminate vibration and reduce electrical loss. A unified control scenario for speed regulation and vibration suppression based on the minimum electrical loss is proposed. First, the spiral spring is equivalent to an Euler–Bernoulli beam and its dynamic model suitable for control is established via the Lagrange equation. Then, the unified control scenario is proposed through nonlinear backstepping control. The speed controller and current controller including modal vibration suppression and minimum electrical loss operation of the system are established, and the stability of the controller is theoretically proved. Moreover, for unknown vibration mode of the spiral spring, a vibration mode–based estimation method with the least-squares algorithm is designed. Aiming at the uncertainty of the permanent magnet synchronous motor’s iron loss resistance, an estimation algorithm based on an adaptive neural fuzzy inference system is designed. The experimental results verify the correctness and effectiveness of the proposed control scheme. In comparison with traditional backstepping control, the proposed control method can effectively suppress the vibration of the spiral spring and realize the stable and highly efficient energy storage operation of the system.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/1687814020913777</doi><orcidid>https://orcid.org/0000-0002-3856-0535</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptive algorithms Adaptive systems Artificial neural networks Control stability Controllers Core loss Dynamic models Energy storage Euler-Bernoulli beams Euler-Lagrange equation Fuzzy logic Fuzzy systems Nonlinear control Permanent magnets Speed control Spiral springs Synchronous motors Vibration control Vibration mode |
title | An integrated scheme of speed control and vibration suppression for spiral spring energy storage system driven by PMSM based on backstepping control with minimum electrical loss |
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