For efficient operation, as well as to avoid operating conditions that can cause damage, fuel cells require a control system to balance fuel and air supply and electrical load. The need to maintain signal constraints during operation, combined with importance of unmeasured variables such as internal stack temperature or fuel utilization, indicate the need for control-oriented models that can be used for estimation and model predictive control. In this paper, we discuss the development of a control-oriented dynamic model of a solid oxide fuel cell stack. Using a detailed physical model as a starting point, we demonstrate the utility of a linear parameter varying (LPV) model structure as a mechanism for model reduction. A novel feature is a non-parametric method for determining the scheduling functions in this model.
- Dynamic Systems and Control Division
Control-Oriented Modeling of a Solid-Oxide Fuel Cell Stack Using an LPV Model Structure
Sanandaji, BM, Vincent, TL, Colclasure, A, & Kee, RJ. "Control-Oriented Modeling of a Solid-Oxide Fuel Cell Stack Using an LPV Model Structure." Proceedings of the ASME 2009 Dynamic Systems and Control Conference. ASME 2009 Dynamic Systems and Control Conference, Volume 2. Hollywood, California, USA. October 12–14, 2009. pp. 793-800. ASME. https://doi.org/10.1115/DSCC2009-2614
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