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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doaj-c52579bca47e4d9d856e0b27fb1224022020-11-25T00:29:31ZengMDPI 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 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Milos Milanovic Verica Radisavljevic-Gajic |
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 |
author_facet |
Milos Milanovic Verica Radisavljevic-Gajic |
author_sort |
Milos Milanovic |
title |
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_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_sort |
multi-timescale-based partial optimal control of a proton-exchange membrane fuel cell |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-12-01 |
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. |
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 |
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1725330754865463296 |