Abstract
Generalized predictive control (GPC) is applied to
control the maximum temperature in a solid oxide fuel
cell (SOFC) stack and the temperature difference over the
stack. GPC is a model predictive control method and the
models utilized in this work are ARX-type (autoregressive
with extra input), multiple input-multiple output,
polynomial models that were identified from experimental
data obtained from experiments with a complete SOFC
system. The proposed control is evaluated by simulation
with various input–output combinations, with and without
constraints. A comparison with conventional
proportional-integral-derivative (PID) control is also
made. It is shown that if only the stack maximum
temperature is controlled, a standard PID controller can
be used to obtain output performance comparable to that
obtained with the significantly more complex model
predictive controller. However, in order to control the
temperature difference over the stack, both the stack
minimum and the maximum temperature need to be controlled
and this cannot be done with a single PID controller. In
such a case the model predictive controller provides a
feasible and effective solution.
Original language | English |
---|---|
Pages (from-to) | 239 - 250 |
Journal | Journal of Power Sources |
Volume | 277 |
DOIs | |
Publication status | Published - 2015 |
MoE publication type | A1 Journal article-refereed |
Keywords
- solid oxide fuel cells
- predictive control systems
- MIMO systems
- temperature control
- ARX model