Adaptive Nuclear Reactor Control Based on Optimal Low-Order Linear Models
The problem of optimally controlling the power level changes of a nuclear reactor for a wide variety of cost functions is considered. Admissible performance indexes are arbitrary functions of the power level and its derivative as well as of the reactivity input and its derivative. The proposed metho...
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| Veröffentlicht in: | IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci., v. NS-20, no. 2, pp. 72-82 Trans. Nucl. Sci., v. NS-20, no. 2, pp. 72-82, 1973-01, Vol.20 (2), p.72-82 |
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| container_title | IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci., v. NS-20, no. 2, pp. 72-82 |
| container_volume | 20 |
| creator | Bereznai, George T. |
| description | The problem of optimally controlling the power level changes of a nuclear reactor for a wide variety of cost functions is considered. Admissible performance indexes are arbitrary functions of the power level and its derivative as well as of the reactivity input and its derivative. The proposed method is based on the use of optimal second-order models, the parameters of which are computed on-line to produce piece-wise approximations to the response of the plant. While the controller parameters, which give optimal performance for the model, result in only a suboptimal system response, the deviations between the two converge rapidly to zero. The proposed technique is illustrated by computing the responses of a power reactor for integral quadratic cost functions, as well as for least pth and minimax criteria. The results indicate that near-optimal performance may be achieved under conditions encountered in practice. |
| doi_str_mv | 10.1109/TNS.1973.4327020 |
| format | Article |
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Admissible performance indexes are arbitrary functions of the power level and its derivative as well as of the reactivity input and its derivative. The proposed method is based on the use of optimal second-order models, the parameters of which are computed on-line to produce piece-wise approximations to the response of the plant. While the controller parameters, which give optimal performance for the model, result in only a suboptimal system response, the deviations between the two converge rapidly to zero. The proposed technique is illustrated by computing the responses of a power reactor for integral quadratic cost functions, as well as for least pth and minimax criteria. The results indicate that near-optimal performance may be achieved under conditions encountered in practice.</description><identifier>ISSN: 0018-9499</identifier><identifier>EISSN: 1558-1578</identifier><identifier>DOI: 10.1109/TNS.1973.4327020</identifier><identifier>CODEN: IETNAE</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive control ; Automatic control ; Control systems ; COST ; Cost function ; DIGITAL COMPUTERS ; Fission reactors ; Inductors ; MATHEMATICAL MODELS ; N79400 -Reactors-Reactor Control Systems ; NUCLEAR POWER PLANTS- REACTOR CONTROL SYSTEMS ; Optimal control ; POWER ; Power generation ; Power system modeling ; Programmable control ; REACTIVITY ; REACTOR CONTROL SYSTEMS- OPTIMIZATION ; REACTOR KINETICS ; TEMPERATURE DEPENDENCE</subject><ispartof>IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci., v. 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Elec. Electron. Eng.), Trans. Nucl. Sci., v. NS-20, no. 2, pp. 72-82</title><addtitle>TNS</addtitle><description>The problem of optimally controlling the power level changes of a nuclear reactor for a wide variety of cost functions is considered. Admissible performance indexes are arbitrary functions of the power level and its derivative as well as of the reactivity input and its derivative. The proposed method is based on the use of optimal second-order models, the parameters of which are computed on-line to produce piece-wise approximations to the response of the plant. While the controller parameters, which give optimal performance for the model, result in only a suboptimal system response, the deviations between the two converge rapidly to zero. The proposed technique is illustrated by computing the responses of a power reactor for integral quadratic cost functions, as well as for least pth and minimax criteria. The results indicate that near-optimal performance may be achieved under conditions encountered in practice.</description><subject>Adaptive control</subject><subject>Automatic control</subject><subject>Control systems</subject><subject>COST</subject><subject>Cost function</subject><subject>DIGITAL COMPUTERS</subject><subject>Fission reactors</subject><subject>Inductors</subject><subject>MATHEMATICAL MODELS</subject><subject>N79400 -Reactors-Reactor Control Systems</subject><subject>NUCLEAR POWER PLANTS- REACTOR CONTROL SYSTEMS</subject><subject>Optimal control</subject><subject>POWER</subject><subject>Power generation</subject><subject>Power system modeling</subject><subject>Programmable control</subject><subject>REACTIVITY</subject><subject>REACTOR CONTROL SYSTEMS- OPTIMIZATION</subject><subject>REACTOR KINETICS</subject><subject>TEMPERATURE DEPENDENCE</subject><issn>0018-9499</issn><issn>1558-1578</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1973</creationdate><recordtype>article</recordtype><recordid>eNo9kE1LAzEQhoMoWKt3wUvwvjXZJJvNsRY_CmsLWs8hzk5wZd2UZFX896ZUPQ3DPO_M8BByztmMc2auNqunGTdazKQoNSvZAZlwpeqCK10fkgljvC6MNOaYnKT0llupmJqQ5bx127H7RLr6gB5dpI_oYAyRLsIwxtDTa5ewpWGg68y9u5424atYxxYjbbphl3gILfbplBx51yc8-61T8nx7s1ncF836brmYNwUIwcbC5bvAS-UBvOCmEsaXbV0xVilVeWVAlh68dkwaLLUBX4raV8qr-oULByim5HK_N6Sxswm6EeEVwjAgjFZKLZVmGWJ7CGJIKaK325ifj9-WM7vzZbMvu_Nlf33lyMU-0iHiP_43_QHOfWVc</recordid><startdate>19730101</startdate><enddate>19730101</enddate><creator>Bereznai, George T.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope><scope>OTOTI</scope></search><sort><creationdate>19730101</creationdate><title>Adaptive Nuclear Reactor Control Based on Optimal Low-Order Linear Models</title><author>Bereznai, George T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-a450c125fccf319639f2d86006556f59c42fcf7a049e279cf238f65f58b13ace3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1973</creationdate><topic>Adaptive control</topic><topic>Automatic control</topic><topic>Control systems</topic><topic>COST</topic><topic>Cost function</topic><topic>DIGITAL COMPUTERS</topic><topic>Fission reactors</topic><topic>Inductors</topic><topic>MATHEMATICAL MODELS</topic><topic>N79400 -Reactors-Reactor Control Systems</topic><topic>NUCLEAR POWER PLANTS- REACTOR CONTROL SYSTEMS</topic><topic>Optimal control</topic><topic>POWER</topic><topic>Power generation</topic><topic>Power system modeling</topic><topic>Programmable control</topic><topic>REACTIVITY</topic><topic>REACTOR CONTROL SYSTEMS- OPTIMIZATION</topic><topic>REACTOR KINETICS</topic><topic>TEMPERATURE DEPENDENCE</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bereznai, George T.</creatorcontrib><creatorcontrib>Ontario Hydro Nuclear Training Centre, Rolphton</creatorcontrib><collection>CrossRef</collection><collection>OSTI.GOV</collection><jtitle>IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci., v. NS-20, no. 2, pp. 72-82</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bereznai, George T.</au><aucorp>Ontario Hydro Nuclear Training Centre, Rolphton</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Nuclear Reactor Control Based on Optimal Low-Order Linear Models</atitle><jtitle>IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci., v. NS-20, no. 2, pp. 72-82</jtitle><stitle>TNS</stitle><date>1973-01-01</date><risdate>1973</risdate><volume>20</volume><issue>2</issue><spage>72</spage><epage>82</epage><pages>72-82</pages><issn>0018-9499</issn><eissn>1558-1578</eissn><coden>IETNAE</coden><abstract>The problem of optimally controlling the power level changes of a nuclear reactor for a wide variety of cost functions is considered. Admissible performance indexes are arbitrary functions of the power level and its derivative as well as of the reactivity input and its derivative. The proposed method is based on the use of optimal second-order models, the parameters of which are computed on-line to produce piece-wise approximations to the response of the plant. While the controller parameters, which give optimal performance for the model, result in only a suboptimal system response, the deviations between the two converge rapidly to zero. The proposed technique is illustrated by computing the responses of a power reactor for integral quadratic cost functions, as well as for least pth and minimax criteria. The results indicate that near-optimal performance may be achieved under conditions encountered in practice.</abstract><pub>IEEE</pub><doi>10.1109/TNS.1973.4327020</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0018-9499 |
| ispartof | IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci., v. NS-20, no. 2, pp. 72-82, 1973-01, Vol.20 (2), p.72-82 |
| issn | 0018-9499 1558-1578 |
| language | eng |
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| source | IEEE/IET Electronic Library (IEL) - Journals and E-Books |
| subjects | Adaptive control Automatic control Control systems COST Cost function DIGITAL COMPUTERS Fission reactors Inductors MATHEMATICAL MODELS N79400 -Reactors-Reactor Control Systems NUCLEAR POWER PLANTS- REACTOR CONTROL SYSTEMS Optimal control POWER Power generation Power system modeling Programmable control REACTIVITY REACTOR CONTROL SYSTEMS- OPTIMIZATION REACTOR KINETICS TEMPERATURE DEPENDENCE |
| title | Adaptive Nuclear Reactor Control Based on Optimal Low-Order Linear Models |
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