Abstract
A fuzzy identification of the dynamical system model is developed upon a data generated by a software simulator of a hydrogen fuel cell. The data presents a black box model, just composed by inputs and outputs, carry no additional information, and showing a strong nonlinear behavior. The choice for a fuzzy identification is based on the data features, and the malleability of the mathematical fuzzy technique. This approach allows to accomplish the objectives of the research, among which, the validation of the method for it used in other industrial problems. The dynamic system identification process is performed using a fuzzy clustering through the Gustafson and Kessel algorithm, and a Takagi Sugeno fuzzy inference method. Validation tests are performed in terms of the 4-fold technique, confirming the lack of the data over-training. These results make the fuzzy approach looks as a promising tool for black-box identification of non linear dynamic systems.
Highlights
A fuel cell uses the chemical energy of hydrogen or another fuel to cleanly and efficiently produce electricity
From the mathematical point of view, at the clustering stage of identification, this study has explored the geometry of the clustering qualitatively, performing graphics that are not common in the literature
At the identification’s stage of fuzzy inference, the main objective is to obtain an analytic formula that is faithful to the dynamics of the hydrogen fuel cell
Summary
A fuel cell uses the chemical energy of hydrogen or another fuel to cleanly and efficiently produce electricity. At the identification’s stage of fuzzy inference, the main objective is to obtain an analytic formula that is faithful to the dynamics of the hydrogen fuel cell. It applies the rigorous k-fold method to test the accuracy of the raised model. These two stages, besides their novelties, show the interdisciplinary aspect of this research, which is one of the main contributions Another innovation is the fuzzy approach for the hydrogen fuel cell model identification.
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