Abstract

In previous works from the literature, the prediction precision of friction models applied for pneumatic valve modeling is compared using simulations. This paper extends these works, by comparing the performance of the friction models using a real pneumatic control valve with a smart positioner. For a proper comparison, an estimation algorithm is developed and evaluated in noiseless and Monte Carlo tests. Even though the estimator is not perfect, due to the typical SNR of industrial processes and to the complexity of the models, it was considered acceptable for comparison purposes. The results indicate that the first principle models tend to be more precise than the data-driven models.

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