In this paper a nonlinear state observer based on a distributed parameter model is pro- posed for a proton exchange membrane fuel cell (PEMFC). The estimation technique is implemented using a model-based nonlinear observer with a nonlinear disturbance ob- server in parallel. To implement the model, a nite element discretisation is performed to take advantage of the boundary conditions of the problem and also to apply lumped systems theory in the observer synthesis procedure. By means of this double observation technique it is possible to reconstruct the gases concentrations internal states in the gas channels of the PEMFC in the presence of disturbances. The reaction rates and water transport terms that cross the membrane are considered as unknown unmatched distur- bances of the model, henceforth the implementation of a disturbance observer to estimate them. Simulation results of the proposed solution are provided and discussed.
123. Distributed Parameter Nonlinear State Observer with Unmatched Disturbance Estimation for PEMFC Systems
Usai E.;
2015-01-01
Abstract
In this paper a nonlinear state observer based on a distributed parameter model is pro- posed for a proton exchange membrane fuel cell (PEMFC). The estimation technique is implemented using a model-based nonlinear observer with a nonlinear disturbance ob- server in parallel. To implement the model, a nite element discretisation is performed to take advantage of the boundary conditions of the problem and also to apply lumped systems theory in the observer synthesis procedure. By means of this double observation technique it is possible to reconstruct the gases concentrations internal states in the gas channels of the PEMFC in the presence of disturbances. The reaction rates and water transport terms that cross the membrane are considered as unknown unmatched distur- bances of the model, henceforth the implementation of a disturbance observer to estimate them. Simulation results of the proposed solution are provided and discussed.File | Dimensione | Formato | |
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