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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Main Authors: Milos Milanovic, Verica Radisavljevic-Gajic
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/1/166
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spelling 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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