S. Gerkšič, B. Pregelj, M. Perne, M. Knap, G. De Tommasi, M. Ariola, A. Pironti
{"title":"Plasma current and shape control for ITER using fast online MPC","authors":"S. Gerkšič, B. Pregelj, M. Perne, M. Knap, G. De Tommasi, M. Ariola, A. Pironti","doi":"10.1109/RTC.2016.7543092","DOIUrl":null,"url":null,"abstract":"In this work we explore the practical feasibility of using MPC for PCSC in the ITER tokamak, employing complexity reduction techniques and recently developed fast on-line quadratic programming (QP) optimization methods. A survey of the available QP methods suitable for the on-line solution of MPC optimization problems is given, with emphasis on first-order methods, which have been recently considered as prime candidates for fast online MPC control. Using a modification of the QP solver QPgen, a five-fold speed-up compared to the state-of-the-art commercial solver CPLEX was achieved, with peak computation times below 10 ms using a four-core Intel processor.","PeriodicalId":383702,"journal":{"name":"2016 IEEE-NPSS Real Time Conference (RT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE-NPSS Real Time Conference (RT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTC.2016.7543092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this work we explore the practical feasibility of using MPC for PCSC in the ITER tokamak, employing complexity reduction techniques and recently developed fast on-line quadratic programming (QP) optimization methods. A survey of the available QP methods suitable for the on-line solution of MPC optimization problems is given, with emphasis on first-order methods, which have been recently considered as prime candidates for fast online MPC control. Using a modification of the QP solver QPgen, a five-fold speed-up compared to the state-of-the-art commercial solver CPLEX was achieved, with peak computation times below 10 ms using a four-core Intel processor.