ANFIS-BASED COMPENSATION OF EXTERNAL DISTURBANCES IN THE COTTON SEED LINTERING PROCESS
Authors
Kurbonov Navruzbek
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Abstract
The cotton seed lintering process is characterized by nonlinear behavior and significant sensitivity to external disturbances such as moisture content, impurity level, and raw material variability. These factors lead to instability in the output quality parameter, primarily seed fuzziness, resulting in increased production of non-conforming products. This study proposes an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based approach to compensate for uncertainty and external disturbances in the lintering process.
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