Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell
This paper presents a Proton-Exchange Membrane Fuel Cell (PEMFC) transient model in stack current cycling conditions and its partial optimal control. The derived model is used for a specific application of the recently published multistage control technique developed by the authors. The presented co...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-12-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/1/166 |
| _version_ | 1811277950681612288 |
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| author | Milos Milanovic Verica Radisavljevic-Gajic |
| author_facet | Milos Milanovic Verica Radisavljevic-Gajic |
| author_sort | Milos Milanovic |
| collection | DOAJ |
| description | This paper presents a Proton-Exchange Membrane Fuel Cell (PEMFC) transient model in stack current cycling conditions and its partial optimal control. The derived model is used for a specific application of the recently published multistage control technique developed by the authors. The presented control-oriented transient PEMFC model is an extension of the steady-state control-oriented model previously established by the authors. The new model is experimentally validated for transient operating conditions on the <i>Greenlight Innovation G60</i> testing station where the comparison of the experimental and simulation results is presented. The derived five-state nonlinear control-oriented model is linearized, and three clusters of eigenvalues can be clearly identified. This specific feature of the linearized model is known as the three timescale system. A novel multistage optimal control technique is particularly suitable for this class of systems. It is shown that this control technique enables the designer to construct a local LQR, pole-placement or any other linear controller type at the subsystem level completely independently, which further optimizes the performance of the whole non-decoupled system. |
| first_indexed | 2024-04-13T00:26:02Z |
| format | Article |
| id | doaj.art-c52579bca47e4d9d856e0b27fb122402 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T00:26:02Z |
| publishDate | 2019-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c52579bca47e4d9d856e0b27fb1224022022-12-22T03:10:37ZengMDPI AGEnergies1996-10732019-12-0113116610.3390/en13010166en13010166Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel CellMilos Milanovic0Verica Radisavljevic-Gajic1Department of Mechanical Engineering, Villanova University, Villanova, PA 19085, USADepartment of Mechanical Engineering, Villanova University, Villanova, PA 19085, USAThis paper presents a Proton-Exchange Membrane Fuel Cell (PEMFC) transient model in stack current cycling conditions and its partial optimal control. The derived model is used for a specific application of the recently published multistage control technique developed by the authors. The presented control-oriented transient PEMFC model is an extension of the steady-state control-oriented model previously established by the authors. The new model is experimentally validated for transient operating conditions on the <i>Greenlight Innovation G60</i> testing station where the comparison of the experimental and simulation results is presented. The derived five-state nonlinear control-oriented model is linearized, and three clusters of eigenvalues can be clearly identified. This specific feature of the linearized model is known as the three timescale system. A novel multistage optimal control technique is particularly suitable for this class of systems. It is shown that this control technique enables the designer to construct a local LQR, pole-placement or any other linear controller type at the subsystem level completely independently, which further optimizes the performance of the whole non-decoupled system.https://www.mdpi.com/1996-1073/13/1/166transient pemfc modelexperimental validationmultistage control techniquetime scales decouplingpartial optimal controllocal controllers |
| spellingShingle | Milos Milanovic Verica Radisavljevic-Gajic Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell Energies transient pemfc model experimental validation multistage control technique time scales decoupling partial optimal control local controllers |
| title | Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell |
| title_full | Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell |
| title_fullStr | Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell |
| title_full_unstemmed | Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell |
| title_short | Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell |
| title_sort | multi timescale based partial optimal control of a proton exchange membrane fuel cell |
| topic | transient pemfc model experimental validation multistage control technique time scales decoupling partial optimal control local controllers |
| url | https://www.mdpi.com/1996-1073/13/1/166 |
| work_keys_str_mv | AT milosmilanovic multitimescalebasedpartialoptimalcontrolofaprotonexchangemembranefuelcell AT vericaradisavljevicgajic multitimescalebasedpartialoptimalcontrolofaprotonexchangemembranefuelcell |