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Identification of cement rotary kiln using hierarchical wavelet fuzzy inference system. (English) Zbl 1254.93066

Summary: Rotary kiln is the central and the most complex component of cement production process. It is used to convert calcineous raw meal into cement clinkers, which plays a key role in quality and quantity of the final produced cement. This system has complex nonlinear dynamic equations that have not been completely worked out yet. In conventional modeling procedure, a large number of the involved parameters are crossed out and an approximation model is presented instead. Therefore, the performance of the obtained model is very important and an inaccurate model may cause many problems for designing a controller. This study presents a Hierarchical Wavelet TS-type Fuzzy Inference System (HWFIS) for identification of cement rotary kiln. In the proposed method, Wavelet Fuzzy Inference System (WFIS) with two input variables is used as sub-model in a hierarchical structure and Gradient Descent (GD) algorithm is chosen for training parameters of antecedent and conclusion parts of sub-models. The results show that the proposed method has higher performance in comparison with the other models. The data collected from Saveh White Cement Company is used in our simulations.

MSC:

93B30 System identification
93C42 Fuzzy control/observation systems
65T60 Numerical methods for wavelets
93C95 Application models in control theory
90B30 Production models

Software:

DENFIS
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Full Text: DOI

References:

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