Paper Info
Title
Model reference adaptive control of a low power proton exchange membrane fuel cell
Abstract
Nonlinearity and time-varying dynamics of fuel cell (FC) systems make it complex to design a controller for improving the output performance. This paper introduces an application of model reference adaptive control to a low power proton exchange membrane (PEM) FC system, which consists of three main components: a FC stack, an air pump to supply air, and a solenoid valve to adjust hydrogen flow. From the system perspective, the dynamic model of PEMFC can be expressed as a multivariable configuration of two inputs, hydrogen and air flow rates, and two outputs, cell voltage and current. The corresponding transfer function can be identified off-line to describe the linearized dynamics with a finite order at a certain operating point, and is written in a discrete-time auto-regression moving-average model for on-line estimation of parameters. This provides a basis of adaptive control strategy to improve the FC performance in terms of efficiency, transient and steady-state specifications. Experiments show that the proposed adaptive controller is robust to the variation of FC system dynamics and power request.
Year
DOI
Venue
2007
10.1109/CDC.2007.4434587
CDC
Keywords
Field
DocType
autoregressive moving average processes,discrete time systems,model reference adaptive control systems,proton exchange membrane fuel cells,solenoids,transfer functions,valves,discrete-time auto-regression moving-average model,hydrogen flow,low power proton exchange membrane fuel cell,model reference adaptive control,solenoid valve,transfer function,air flow,system dynamics,discrete time,proton exchange membrane,adaptive control,proton exchange membrane fuel cell,steady state
Control theory,Nonlinear system,Solenoid valve,Proton exchange membrane fuel cell,Computer science,Control theory,Operating point,Control engineering,Transfer function,System dynamics,Adaptive control
Conference
ISSN
ISBN
Citations 
0191-2216 E-ISBN : 978-1-4244-1498-7
978-1-4244-1498-7
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yee-Pien Yang182.71
Zhao-Wei Liu232.74
Fu-Cheng Wang33511.62