Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 여영구 | - |
dc.date.accessioned | 2019-12-04T05:06:34Z | - |
dc.date.available | 2019-12-04T05:06:34Z | - |
dc.date.issued | 2018-01 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v. 16, no. 2, page. 791-803 | en_US |
dc.identifier.issn | 1598-6446 | - |
dc.identifier.issn | 2005-4092 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs12555-016-0234-0 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/117177 | - |
dc.description.abstract | To improve availability and performance of fuel cells, the operating temperature of a molten carbonate fuel cells (MCFC) stack should be strictly maintained within a specified operation range and an efficient control technique should be employed to meet this objective. While most of modern control strategies are based on process models, many existing models for a MCFC process are not ready to be applied in synthesis and operation of control systems. In this study, auto-regressive moving average (ARMA) model, least square support vector machine (LS-SVM) model and artificial neural network (ANN) model for the MCFC system are developed based on input-output operating data. Among these models, the ARMA model showed the best tracking performance. A model predictive control (MPC) method for the operation of a MCFC process is developed based on the proposed ARMA model. For the purpose of comparison, a MPC scheme based on the linearized rigorous model for a MCFC process is developed. Results of numerical simulations show that MPC based on the ARMA model exhibits better control performance than that based on the linearized rigorous model. | en_US |
dc.description.sponsorship | This journal was supported by the National Research Foundation of Korea (NRF-2017R1A2B1005649). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | INST CONTROL ROBOTICS & SYSTEMS | en_US |
dc.subject | ARMA modeling | en_US |
dc.subject | model predictive control | en_US |
dc.subject | molten carbonate fuel cells | en_US |
dc.subject | rigorous model | en_US |
dc.title | Development of Predictive Model based Control Scheme for a Molten Carbonate Fuel Cell (MCFC) Process | en_US |
dc.type | Article | en_US |
dc.relation.no | 1 | - |
dc.relation.volume | 35 | - |
dc.identifier.doi | 10.1007/s12555-016-0234-0 | - |
dc.relation.page | 118-128 | - |
dc.relation.journal | KOREAN JOURNAL OF CHEMICAL ENGINEERING | - |
dc.contributor.googleauthor | Kim, Tae Young | - |
dc.contributor.googleauthor | Kim, Beom Seok | - |
dc.contributor.googleauthor | Park, Tae Chang | - |
dc.contributor.googleauthor | Yeo, Yeong Koo | - |
dc.relation.code | 2018011296 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF CHEMICAL ENGINEERING | - |
dc.identifier.pid | ykyeo | - |
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