| contributor author | Tsai, Alex | |
| contributor author | Pezzini, Paolo | |
| contributor author | Tucker, David | |
| contributor author | Bryden, Kenneth M. | |
| date accessioned | 2019-03-17T10:04:18Z | |
| date available | 2019-03-17T10:04:18Z | |
| date copyright | 2/19/2019 12:00:00 AM | |
| date issued | 2019 | |
| identifier issn | 2381-6872 | |
| identifier other | jeecs_016_03_031003.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4255889 | |
| description abstract | A multiple model adaptive control (MMAC) methodology is used to control the critical parameters of a solid oxide fuel cell gas turbine (SOFC-GT) cyberphysical simulator, capable of characterizing 300 kW hybrid plants. The SOFC system is composed of a hardware balance of plant (BoP) component, and a high fidelity FC model implemented in software. This study utilizes empirically derived transfer functions (TFs) of the BoP facility to derive the MMAC gains for the BoP system, based on an estimation algorithm which identifies current operating points. The MMAC technique is useful for systems having a wide operating envelope with nonlinear dynamics. The practical implementation of the adaptive methodology is presented through simulation in the matlab/simulink environment. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Multiple-Model Adaptive Control of a Hybrid Solid Oxide Fuel Cell Gas Turbine Power Plant Simulator | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 3 | |
| journal title | Journal of Electrochemical Energy Conversion and Storage | |
| identifier doi | 10.1115/1.4042381 | |
| journal fristpage | 31003 | |
| journal lastpage | 031003-11 | |
| tree | Journal of Electrochemical Energy Conversion and Storage:;2019:;volume( 016 ):;issue: 003 | |
| contenttype | Fulltext | |
