Details
| Original language | English |
|---|---|
| Pages (from-to) | 292-313 |
| Number of pages | 22 |
| Journal | Journal of process control |
| Volume | 2010 |
| Issue number | 20 |
| Publication status | Published - Mar 2010 |
| Externally published | Yes |
Abstract
This work considers the controlled load change of proton exchange membrane (PEM) fuel cells. Due to the intrinsic nonlinearities of fuel cells, load changes are quite challenging. In the case of a low temperature PEM fuel cell, there is the possibility of undesired liquid water formation. Most available control concepts are heuristic linear controller structures based on a perfectly mixed fuel cell model. In this work a nonlinear controller for one-dimensional spatially distributed model of a PEM fuel cell is presented. The fuel cell model is derived from first principles. The concept of passivity is used to design the controller. A suitable control Lyapunov function is chosen and passivity of the fuel cell is shown. A state-feedback law is derived that can guarantee stability of the closed-loop system over a wide range of operation conditions. In order to make the feedback law applicable to fuel cells with limited measurement information an observer is designed. In a final step the state-feedback law and the observer are combined to an output-feedback controller.
Keywords
- Distributed parameter system, Fuel cell, Nonlinear control, Observer, Passivity
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Mathematics(all)
- Modelling and Simulation
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Journal of process control, Vol. 2010, No. 20, 03.2010, p. 292-313.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Passivity based control of a distributed PEM fuel cell model
AU - Mangold, Michael
AU - Bück, Andreas
AU - Hanke-Rauschenbach, Richard
N1 - Copyright: Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010/3
Y1 - 2010/3
N2 - This work considers the controlled load change of proton exchange membrane (PEM) fuel cells. Due to the intrinsic nonlinearities of fuel cells, load changes are quite challenging. In the case of a low temperature PEM fuel cell, there is the possibility of undesired liquid water formation. Most available control concepts are heuristic linear controller structures based on a perfectly mixed fuel cell model. In this work a nonlinear controller for one-dimensional spatially distributed model of a PEM fuel cell is presented. The fuel cell model is derived from first principles. The concept of passivity is used to design the controller. A suitable control Lyapunov function is chosen and passivity of the fuel cell is shown. A state-feedback law is derived that can guarantee stability of the closed-loop system over a wide range of operation conditions. In order to make the feedback law applicable to fuel cells with limited measurement information an observer is designed. In a final step the state-feedback law and the observer are combined to an output-feedback controller.
AB - This work considers the controlled load change of proton exchange membrane (PEM) fuel cells. Due to the intrinsic nonlinearities of fuel cells, load changes are quite challenging. In the case of a low temperature PEM fuel cell, there is the possibility of undesired liquid water formation. Most available control concepts are heuristic linear controller structures based on a perfectly mixed fuel cell model. In this work a nonlinear controller for one-dimensional spatially distributed model of a PEM fuel cell is presented. The fuel cell model is derived from first principles. The concept of passivity is used to design the controller. A suitable control Lyapunov function is chosen and passivity of the fuel cell is shown. A state-feedback law is derived that can guarantee stability of the closed-loop system over a wide range of operation conditions. In order to make the feedback law applicable to fuel cells with limited measurement information an observer is designed. In a final step the state-feedback law and the observer are combined to an output-feedback controller.
KW - Distributed parameter system
KW - Fuel cell
KW - Nonlinear control
KW - Observer
KW - Passivity
KW - Distributed parameter system
KW - Fuel cell
KW - Nonlinear control
KW - Observer
KW - Passivity
KW - Bioinformatics
KW - Differential equations
KW - Linear control systems
KW - Lyapunov functions
KW - Proton exchange membrane fuel cells (PEMFC)
UR - http://www.scopus.com/inward/record.url?scp=75149150328&partnerID=8YFLogxK
U2 - 10.1016/j.jprocont.2009.11.008
DO - 10.1016/j.jprocont.2009.11.008
M3 - Article
AN - SCOPUS:75149150328
VL - 2010
SP - 292
EP - 313
JO - Journal of process control
JF - Journal of process control
SN - 0959-1524
IS - 20
ER -