dorsal/arxiv
View SchemaDevelopement of real time diagnostics and feedback algorithms for JET in view of the next step
| Authors | A. Murari, E. Joffrin, R. Felton, D. Mazon, L. Zabeo, R. Albanese, P. Arena, G. Ambrosino, M. Ariola, O. Barana, M. Bruno, L. Laborde, D. Moreau, F. Piccolo, F. Sartori, F. Crisanti, E. De La Luna, J. Sanchez |
|---|---|
| Categories | |
| ArXiv ID | physics/0410101 |
| URL | https://arxiv.org/abs/physics/0410101 |
| DOI | 10.1088/0741-3335/47/3/001 |
Abstract
Real time control of many plasma parameters will be an essential aspect in the development of reliable high performance operation of Next Step Tokamaks. The main prerequisites for any feedback scheme are the precise real-time determination of the quantities to be controlled, requiring top quality and highly reliable diagnostics, and the availability of robust control algorithms. A new set of real time diagnostics was recently implemented on JET to prove the feasibility of determining, with high accuracy and time resolution, the most important plasma quantities. With regard to feedback algorithms, new model–based controllers were developed to allow a more robust control of several plasma parameters. Both diagnostics and algorithms were successfully used in several experiments, ranging from H-mode plasmas to configuration with ITBs. Since elaboration of computationally heavy measurements is often required, significant attention was devoted to non-algorithmic methods like Digital or Cellular Neural/Nonlinear Networks. The real time hardware and software adopted architectures are also described with particular attention to their relevance to ITER.
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"abstract": "Real time control of many plasma parameters will be an essential aspect in\nthe development of reliable high performance operation of Next Step Tokamaks.\nThe main prerequisites for any feedback scheme are the precise real-time\ndetermination of the quantities to be controlled, requiring top quality and\nhighly reliable diagnostics, and the availability of robust control algorithms.\nA new set of real time diagnostics was recently implemented on JET to prove the\nfeasibility of determining, with high accuracy and time resolution, the most\nimportant plasma quantities. With regard to feedback algorithms, new\nmodel\u0026#8211;based controllers were developed to allow a more robust control of\nseveral plasma parameters. Both diagnostics and algorithms were successfully\nused in several experiments, ranging from H-mode plasmas to configuration with\nITBs. Since elaboration of computationally heavy measurements is often\nrequired, significant attention was devoted to non-algorithmic methods like\nDigital or Cellular Neural/Nonlinear Networks. The real time hardware and\nsoftware adopted architectures are also described with particular attention to\ntheir relevance to ITER.",
"arxiv_id": "physics/0410101",
"authors": [
"A. Murari",
"E. Joffrin",
"R. Felton",
"D. Mazon",
"L. Zabeo",
"R. Albanese",
"P. Arena",
"G. Ambrosino",
"M. Ariola",
"O. Barana",
"M. Bruno",
"L. Laborde",
"D. Moreau",
"F. Piccolo",
"F. Sartori",
"F. Crisanti",
"E. De La Luna",
"J. Sanchez"
],
"categories": [
"physics.plasm-ph"
],
"doi": "10.1088/0741-3335/47/3/001",
"title": "Developement of real time diagnostics and feedback algorithms for JET in view of the next step",
"url": "https://arxiv.org/abs/physics/0410101"
},
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