Adaptive Boundary Control Using Natural Switching Surfaces for Flyback Converters Operating in the Boundary Conduction Mode with Parameter Uncertainties
The derivation and implementation of the natural switching surfaces (NSS) considering certain parametric uncertainties for a flyback converter operating in the boundary conduction mode is the main focus of this paper. The NSS with nominal parameters presents many benefits for the control of nonlinea...
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| Veröffentlicht in: | IEEE transactions on power electronics 2019-08, Vol.34 (8), p.8118-8137 |
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| container_title | IEEE transactions on power electronics |
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| creator | Garcia Rodriguez, Luciano Andres Chiacchiarini, Hector Gerardo Carballo Rojas, David Balda, Juan Carlos |
| description | The derivation and implementation of the natural switching surfaces (NSS) considering certain parametric uncertainties for a flyback converter operating in the boundary conduction mode is the main focus of this paper. The NSS with nominal parameters presents many benefits for the control of nonlinear systems; for example, fast transient response under load-changing conditions. However, the performance worsens considerably when the converter actual parameters are different from the ones used in the design process. Therefore, a novel control strategy for NSS considering the effects of parameter uncertainties is proposed. This control law can estimate and adapt the control trajectories in a minimum number of switching cycles to obtain excellent performances even under extreme parameter uncertainties. The analytical derivation of the proposed adaptive switching surfaces is presented together with simulations and experimental results showing adequate performance under different tests, including comparisons with a standard PI controller. |
| doi_str_mv | 10.1109/TPEL.2018.2879026 |
| format | Article |
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The NSS with nominal parameters presents many benefits for the control of nonlinear systems; for example, fast transient response under load-changing conditions. However, the performance worsens considerably when the converter actual parameters are different from the ones used in the design process. Therefore, a novel control strategy for NSS considering the effects of parameter uncertainties is proposed. This control law can estimate and adapt the control trajectories in a minimum number of switching cycles to obtain excellent performances even under extreme parameter uncertainties. The analytical derivation of the proposed adaptive switching surfaces is presented together with simulations and experimental results showing adequate performance under different tests, including comparisons with a standard PI controller.</description><identifier>ISSN: 0885-8993</identifier><identifier>EISSN: 1941-0107</identifier><identifier>DOI: 10.1109/TPEL.2018.2879026</identifier><identifier>CODEN: ITPEE8</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive control ; Adaptive controller ; boundary conduction mode (BCM) ; Boundary control ; boundary control (BC) ; Buck converters ; Capacitors ; Control theory ; Converters ; critical conduction mode (CRM) ; Derivation ; flyback converter ; natural switching surface (NSS) ; Nonlinear control ; Nonlinear systems ; Parameter uncertainty ; parametric uncertainties ; Resistance ; Steady-state ; Switches ; Switching ; switching surface control (SSC) ; Trajectory ; Trajectory control ; Uncertainty analysis ; variable structure control (VSC)</subject><ispartof>IEEE transactions on power electronics, 2019-08, Vol.34 (8), p.8118-8137</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-eef520dec9141e346264ae4d87d6cbb21e429d19fe52cfb9ca54882ac72ceafb3</citedby><cites>FETCH-LOGICAL-c293t-eef520dec9141e346264ae4d87d6cbb21e429d19fe52cfb9ca54882ac72ceafb3</cites><orcidid>0000-0001-9924-2293 ; 0000-0002-7918-1187 ; 0000-0002-4608-2940</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8516331$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8516331$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Garcia Rodriguez, Luciano Andres</creatorcontrib><creatorcontrib>Chiacchiarini, Hector Gerardo</creatorcontrib><creatorcontrib>Carballo Rojas, David</creatorcontrib><creatorcontrib>Balda, Juan Carlos</creatorcontrib><title>Adaptive Boundary Control Using Natural Switching Surfaces for Flyback Converters Operating in the Boundary Conduction Mode with Parameter Uncertainties</title><title>IEEE transactions on power electronics</title><addtitle>TPEL</addtitle><description>The derivation and implementation of the natural switching surfaces (NSS) considering certain parametric uncertainties for a flyback converter operating in the boundary conduction mode is the main focus of this paper. The NSS with nominal parameters presents many benefits for the control of nonlinear systems; for example, fast transient response under load-changing conditions. However, the performance worsens considerably when the converter actual parameters are different from the ones used in the design process. Therefore, a novel control strategy for NSS considering the effects of parameter uncertainties is proposed. This control law can estimate and adapt the control trajectories in a minimum number of switching cycles to obtain excellent performances even under extreme parameter uncertainties. The analytical derivation of the proposed adaptive switching surfaces is presented together with simulations and experimental results showing adequate performance under different tests, including comparisons with a standard PI controller.</description><subject>Adaptive control</subject><subject>Adaptive controller</subject><subject>boundary conduction mode (BCM)</subject><subject>Boundary control</subject><subject>boundary control (BC)</subject><subject>Buck converters</subject><subject>Capacitors</subject><subject>Control theory</subject><subject>Converters</subject><subject>critical conduction mode (CRM)</subject><subject>Derivation</subject><subject>flyback converter</subject><subject>natural switching surface (NSS)</subject><subject>Nonlinear control</subject><subject>Nonlinear systems</subject><subject>Parameter uncertainty</subject><subject>parametric uncertainties</subject><subject>Resistance</subject><subject>Steady-state</subject><subject>Switches</subject><subject>Switching</subject><subject>switching surface control (SSC)</subject><subject>Trajectory</subject><subject>Trajectory control</subject><subject>Uncertainty analysis</subject><subject>variable structure control (VSC)</subject><issn>0885-8993</issn><issn>1941-0107</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpVkdtKxDAQhoMouB4eQLwJeN01k56Sy3XxBKu7oHtd0nTqRrtNTVLFN_FxbVkRvBoY_v8bho-QM2BTACYvn1fXiylnIKZc5JLxbI9MQCYQMWD5PpkwIdJISBkfkiPvXxmDJGUwId-zSnXBfCC9sn1bKfdF57YNzjZ07U37Qh9V6J1q6NOnCXozbp56VyuNntbW0Zvmq1T6bSx9oAvoPF126FQYk6alYfOfXPU6GNvSB1shHZAbulJObXFo0nWrB4QybTDoT8hBrRqPp7_zmKxvrp_nd9FieXs_ny0izWUcIsQ65axCLSEBjJOMZ4nCpBJ5lemy5IAJlxXIGlOu61JqlSZCcKVzrlHVZXxMLnbcztn3Hn0oXm3v2uFkwXkMIhOQ8iEFu5R21nuHddE5sx1-KoAVo4BiFFCMAopfAUPnfNcxiPiXFylkcQzxD43The0</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Garcia Rodriguez, Luciano Andres</creator><creator>Chiacchiarini, Hector Gerardo</creator><creator>Carballo Rojas, David</creator><creator>Balda, Juan Carlos</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-9924-2293</orcidid><orcidid>https://orcid.org/0000-0002-7918-1187</orcidid><orcidid>https://orcid.org/0000-0002-4608-2940</orcidid></search><sort><creationdate>20190801</creationdate><title>Adaptive Boundary Control Using Natural Switching Surfaces for Flyback Converters Operating in the Boundary Conduction Mode with Parameter Uncertainties</title><author>Garcia Rodriguez, Luciano Andres ; Chiacchiarini, Hector Gerardo ; Carballo Rojas, David ; Balda, Juan Carlos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-eef520dec9141e346264ae4d87d6cbb21e429d19fe52cfb9ca54882ac72ceafb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adaptive control</topic><topic>Adaptive controller</topic><topic>boundary conduction mode (BCM)</topic><topic>Boundary control</topic><topic>boundary control (BC)</topic><topic>Buck converters</topic><topic>Capacitors</topic><topic>Control theory</topic><topic>Converters</topic><topic>critical conduction mode (CRM)</topic><topic>Derivation</topic><topic>flyback converter</topic><topic>natural switching surface (NSS)</topic><topic>Nonlinear control</topic><topic>Nonlinear systems</topic><topic>Parameter uncertainty</topic><topic>parametric uncertainties</topic><topic>Resistance</topic><topic>Steady-state</topic><topic>Switches</topic><topic>Switching</topic><topic>switching surface control (SSC)</topic><topic>Trajectory</topic><topic>Trajectory control</topic><topic>Uncertainty analysis</topic><topic>variable structure control (VSC)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Garcia Rodriguez, Luciano Andres</creatorcontrib><creatorcontrib>Chiacchiarini, Hector Gerardo</creatorcontrib><creatorcontrib>Carballo Rojas, David</creatorcontrib><creatorcontrib>Balda, Juan Carlos</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Garcia Rodriguez, Luciano Andres</au><au>Chiacchiarini, Hector Gerardo</au><au>Carballo Rojas, David</au><au>Balda, Juan Carlos</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Boundary Control Using Natural Switching Surfaces for Flyback Converters Operating in the Boundary Conduction Mode with Parameter Uncertainties</atitle><jtitle>IEEE transactions on power electronics</jtitle><stitle>TPEL</stitle><date>2019-08-01</date><risdate>2019</risdate><volume>34</volume><issue>8</issue><spage>8118</spage><epage>8137</epage><pages>8118-8137</pages><issn>0885-8993</issn><eissn>1941-0107</eissn><coden>ITPEE8</coden><abstract>The derivation and implementation of the natural switching surfaces (NSS) considering certain parametric uncertainties for a flyback converter operating in the boundary conduction mode is the main focus of this paper. The NSS with nominal parameters presents many benefits for the control of nonlinear systems; for example, fast transient response under load-changing conditions. However, the performance worsens considerably when the converter actual parameters are different from the ones used in the design process. Therefore, a novel control strategy for NSS considering the effects of parameter uncertainties is proposed. This control law can estimate and adapt the control trajectories in a minimum number of switching cycles to obtain excellent performances even under extreme parameter uncertainties. The analytical derivation of the proposed adaptive switching surfaces is presented together with simulations and experimental results showing adequate performance under different tests, including comparisons with a standard PI controller.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPEL.2018.2879026</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-9924-2293</orcidid><orcidid>https://orcid.org/0000-0002-7918-1187</orcidid><orcidid>https://orcid.org/0000-0002-4608-2940</orcidid></addata></record> |
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| subjects | Adaptive control Adaptive controller boundary conduction mode (BCM) Boundary control boundary control (BC) Buck converters Capacitors Control theory Converters critical conduction mode (CRM) Derivation flyback converter natural switching surface (NSS) Nonlinear control Nonlinear systems Parameter uncertainty parametric uncertainties Resistance Steady-state Switches Switching switching surface control (SSC) Trajectory Trajectory control Uncertainty analysis variable structure control (VSC) |
| title | Adaptive Boundary Control Using Natural Switching Surfaces for Flyback Converters Operating in the Boundary Conduction Mode with Parameter Uncertainties |
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