Model predictive control of ITER plasma current and shape using singular-value decomposition
•A plasma current and shape controller for ITER is presented.•Model predictive control can consider constraints on coil currents.•Online optimisation problems are solved using the dual fast gradient method solver.•Simulation results for the flat-top phase of ITER Scenario 1 are presented. A model pr...
Gespeichert in:
| Veröffentlicht in: | Fusion engineering and design 2018-04, Vol.129, p.158-163 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 163 |
|---|---|
| container_issue | |
| container_start_page | 158 |
| container_title | Fusion engineering and design |
| container_volume | 129 |
| creator | Gerkšič, Samo Pregelj, Boštjan Perne, Matija Ariola, Marco De Tommasi, Gianmaria Pironti, Alfredo |
| description | •A plasma current and shape controller for ITER is presented.•Model predictive control can consider constraints on coil currents.•Online optimisation problems are solved using the dual fast gradient method solver.•Simulation results for the flat-top phase of ITER Scenario 1 are presented.
A model predictive control (MPC) scheme for ITER plasma current and shape controller (PCSC) is presented. The controller is able to control a large number of geometrical plasma shape descriptors using output-space reduction based on singular-value decomposition (SVD). The online optimisation problems imposed by MPC are solved using the dual fast gradient method (dFGM) solver, which is shown to be computationally feasible when MPC complexity-reduction techniques are applied. A performance evaluation in simulation of the flat-top phase of ITER Scenario 1 is presented, showing a moderate general improvement of control, compared to a reference control scheme based on multivariable PID control with SVD. Moreover, the proposed MPC PCSC is capable of avoiding superconductive current saturations, and in some cases shows better performance regarding voltage saturations. |
| doi_str_mv | 10.1016/j.fusengdes.2018.01.074 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2076375877</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0920379618300991</els_id><sourcerecordid>2076375877</sourcerecordid><originalsourceid>FETCH-LOGICAL-c343t-e85447270859c0968adbdab692881e9962e648753bdb27afb9e184b0d4eb42353</originalsourceid><addsrcrecordid>eNqFkF9LwzAUxYMoOKefwYDPrUnT5s_jGFMHiiDzTQhpcjszuqYm7cBvb8fEV-Fy78s553J-CN1SklNC-f0ub8YE3dZBygtCZU5oTkR5hmZUCpYJqvg5mhFVkIwJxS_RVUo7QqiYZoY-XoKDFvcRnLeDPwC2oRtiaHFo8HqzesN9a9LeYDvGCN2ATedw-jQ94DH5bouPa2xNzA6mHQE7sGHfh-QHH7prdNGYNsHN752j94fVZvmUPb8-rpeL58yykg0ZyKosRSGIrJQlikvjamdqrgopKSjFC-ClFBWrXV0I09QKqCxr4kqoy4JVbI7uTrl9DF8jpEHvwhi76aUuiOBMVFKISSVOKhtDShEa3Ue_N_FbU6KPKPVO_6HUR5SaUD2hnJyLkxOmEgcPUSfrobMTswh20C74fzN-APxsgdo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2076375877</pqid></control><display><type>article</type><title>Model predictive control of ITER plasma current and shape using singular-value decomposition</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Gerkšič, Samo ; Pregelj, Boštjan ; Perne, Matija ; Ariola, Marco ; De Tommasi, Gianmaria ; Pironti, Alfredo</creator><creatorcontrib>Gerkšič, Samo ; Pregelj, Boštjan ; Perne, Matija ; Ariola, Marco ; De Tommasi, Gianmaria ; Pironti, Alfredo</creatorcontrib><description>•A plasma current and shape controller for ITER is presented.•Model predictive control can consider constraints on coil currents.•Online optimisation problems are solved using the dual fast gradient method solver.•Simulation results for the flat-top phase of ITER Scenario 1 are presented.
A model predictive control (MPC) scheme for ITER plasma current and shape controller (PCSC) is presented. The controller is able to control a large number of geometrical plasma shape descriptors using output-space reduction based on singular-value decomposition (SVD). The online optimisation problems imposed by MPC are solved using the dual fast gradient method (dFGM) solver, which is shown to be computationally feasible when MPC complexity-reduction techniques are applied. A performance evaluation in simulation of the flat-top phase of ITER Scenario 1 is presented, showing a moderate general improvement of control, compared to a reference control scheme based on multivariable PID control with SVD. Moreover, the proposed MPC PCSC is capable of avoiding superconductive current saturations, and in some cases shows better performance regarding voltage saturations.</description><identifier>ISSN: 0920-3796</identifier><identifier>EISSN: 1873-7196</identifier><identifier>DOI: 10.1016/j.fusengdes.2018.01.074</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Computer simulation ; Control systems ; Decomposition ; Feasibility studies ; Fusion ; Mathematical models ; Multivariable control ; Performance evaluation ; Plasma currents ; Plasma magnetic control ; Plasma physics ; Predictive control ; Proportional integral derivative ; Quadratic programming ; Reactors ; Reduction ; Singular value decomposition ; Stability ; Superconductors</subject><ispartof>Fusion engineering and design, 2018-04, Vol.129, p.158-163</ispartof><rights>2018 Jožef Stefan Institute</rights><rights>Copyright Elsevier Science Ltd. Apr 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-e85447270859c0968adbdab692881e9962e648753bdb27afb9e184b0d4eb42353</citedby><cites>FETCH-LOGICAL-c343t-e85447270859c0968adbdab692881e9962e648753bdb27afb9e184b0d4eb42353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.fusengdes.2018.01.074$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Gerkšič, Samo</creatorcontrib><creatorcontrib>Pregelj, Boštjan</creatorcontrib><creatorcontrib>Perne, Matija</creatorcontrib><creatorcontrib>Ariola, Marco</creatorcontrib><creatorcontrib>De Tommasi, Gianmaria</creatorcontrib><creatorcontrib>Pironti, Alfredo</creatorcontrib><title>Model predictive control of ITER plasma current and shape using singular-value decomposition</title><title>Fusion engineering and design</title><description>•A plasma current and shape controller for ITER is presented.•Model predictive control can consider constraints on coil currents.•Online optimisation problems are solved using the dual fast gradient method solver.•Simulation results for the flat-top phase of ITER Scenario 1 are presented.
A model predictive control (MPC) scheme for ITER plasma current and shape controller (PCSC) is presented. The controller is able to control a large number of geometrical plasma shape descriptors using output-space reduction based on singular-value decomposition (SVD). The online optimisation problems imposed by MPC are solved using the dual fast gradient method (dFGM) solver, which is shown to be computationally feasible when MPC complexity-reduction techniques are applied. A performance evaluation in simulation of the flat-top phase of ITER Scenario 1 is presented, showing a moderate general improvement of control, compared to a reference control scheme based on multivariable PID control with SVD. Moreover, the proposed MPC PCSC is capable of avoiding superconductive current saturations, and in some cases shows better performance regarding voltage saturations.</description><subject>Computer simulation</subject><subject>Control systems</subject><subject>Decomposition</subject><subject>Feasibility studies</subject><subject>Fusion</subject><subject>Mathematical models</subject><subject>Multivariable control</subject><subject>Performance evaluation</subject><subject>Plasma currents</subject><subject>Plasma magnetic control</subject><subject>Plasma physics</subject><subject>Predictive control</subject><subject>Proportional integral derivative</subject><subject>Quadratic programming</subject><subject>Reactors</subject><subject>Reduction</subject><subject>Singular value decomposition</subject><subject>Stability</subject><subject>Superconductors</subject><issn>0920-3796</issn><issn>1873-7196</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkF9LwzAUxYMoOKefwYDPrUnT5s_jGFMHiiDzTQhpcjszuqYm7cBvb8fEV-Fy78s553J-CN1SklNC-f0ub8YE3dZBygtCZU5oTkR5hmZUCpYJqvg5mhFVkIwJxS_RVUo7QqiYZoY-XoKDFvcRnLeDPwC2oRtiaHFo8HqzesN9a9LeYDvGCN2ATedw-jQ94DH5bouPa2xNzA6mHQE7sGHfh-QHH7prdNGYNsHN752j94fVZvmUPb8-rpeL58yykg0ZyKosRSGIrJQlikvjamdqrgopKSjFC-ClFBWrXV0I09QKqCxr4kqoy4JVbI7uTrl9DF8jpEHvwhi76aUuiOBMVFKISSVOKhtDShEa3Ue_N_FbU6KPKPVO_6HUR5SaUD2hnJyLkxOmEgcPUSfrobMTswh20C74fzN-APxsgdo</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Gerkšič, Samo</creator><creator>Pregelj, Boštjan</creator><creator>Perne, Matija</creator><creator>Ariola, Marco</creator><creator>De Tommasi, Gianmaria</creator><creator>Pironti, Alfredo</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201804</creationdate><title>Model predictive control of ITER plasma current and shape using singular-value decomposition</title><author>Gerkšič, Samo ; Pregelj, Boštjan ; Perne, Matija ; Ariola, Marco ; De Tommasi, Gianmaria ; Pironti, Alfredo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-e85447270859c0968adbdab692881e9962e648753bdb27afb9e184b0d4eb42353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer simulation</topic><topic>Control systems</topic><topic>Decomposition</topic><topic>Feasibility studies</topic><topic>Fusion</topic><topic>Mathematical models</topic><topic>Multivariable control</topic><topic>Performance evaluation</topic><topic>Plasma currents</topic><topic>Plasma magnetic control</topic><topic>Plasma physics</topic><topic>Predictive control</topic><topic>Proportional integral derivative</topic><topic>Quadratic programming</topic><topic>Reactors</topic><topic>Reduction</topic><topic>Singular value decomposition</topic><topic>Stability</topic><topic>Superconductors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gerkšič, Samo</creatorcontrib><creatorcontrib>Pregelj, Boštjan</creatorcontrib><creatorcontrib>Perne, Matija</creatorcontrib><creatorcontrib>Ariola, Marco</creatorcontrib><creatorcontrib>De Tommasi, Gianmaria</creatorcontrib><creatorcontrib>Pironti, Alfredo</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Fusion engineering and design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gerkšič, Samo</au><au>Pregelj, Boštjan</au><au>Perne, Matija</au><au>Ariola, Marco</au><au>De Tommasi, Gianmaria</au><au>Pironti, Alfredo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model predictive control of ITER plasma current and shape using singular-value decomposition</atitle><jtitle>Fusion engineering and design</jtitle><date>2018-04</date><risdate>2018</risdate><volume>129</volume><spage>158</spage><epage>163</epage><pages>158-163</pages><issn>0920-3796</issn><eissn>1873-7196</eissn><abstract>•A plasma current and shape controller for ITER is presented.•Model predictive control can consider constraints on coil currents.•Online optimisation problems are solved using the dual fast gradient method solver.•Simulation results for the flat-top phase of ITER Scenario 1 are presented.
A model predictive control (MPC) scheme for ITER plasma current and shape controller (PCSC) is presented. The controller is able to control a large number of geometrical plasma shape descriptors using output-space reduction based on singular-value decomposition (SVD). The online optimisation problems imposed by MPC are solved using the dual fast gradient method (dFGM) solver, which is shown to be computationally feasible when MPC complexity-reduction techniques are applied. A performance evaluation in simulation of the flat-top phase of ITER Scenario 1 is presented, showing a moderate general improvement of control, compared to a reference control scheme based on multivariable PID control with SVD. Moreover, the proposed MPC PCSC is capable of avoiding superconductive current saturations, and in some cases shows better performance regarding voltage saturations.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.fusengdes.2018.01.074</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0920-3796 |
| ispartof | Fusion engineering and design, 2018-04, Vol.129, p.158-163 |
| issn | 0920-3796 1873-7196 |
| language | eng |
| recordid | cdi_proquest_journals_2076375877 |
| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Computer simulation Control systems Decomposition Feasibility studies Fusion Mathematical models Multivariable control Performance evaluation Plasma currents Plasma magnetic control Plasma physics Predictive control Proportional integral derivative Quadratic programming Reactors Reduction Singular value decomposition Stability Superconductors |
| title | Model predictive control of ITER plasma current and shape using singular-value decomposition |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T17%3A39%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Model%20predictive%20control%20of%20ITER%20plasma%20current%20and%20shape%20using%20singular-value%20decomposition&rft.jtitle=Fusion%20engineering%20and%20design&rft.au=Gerk%C5%A1i%C4%8D,%20Samo&rft.date=2018-04&rft.volume=129&rft.spage=158&rft.epage=163&rft.pages=158-163&rft.issn=0920-3796&rft.eissn=1873-7196&rft_id=info:doi/10.1016/j.fusengdes.2018.01.074&rft_dat=%3Cproquest_cross%3E2076375877%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2076375877&rft_id=info:pmid/&rft_els_id=S0920379618300991&rfr_iscdi=true |