Issue |
E3S Web Conf.
Volume 288, 2021
International Symposium “Sustainable Energy and Power Engineering 2021” (SUSE-2021)
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Article Number | 01024 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/202128801024 | |
Published online | 14 July 2021 |
Development of the Adaptive Fuzzy Control System for a Parallel-Flow Drying Drum
1 Ufa State Petroleum Technological University, Branch of the University in the City of Sterlitamak 453118, Russia
2 Faculty of Information Technology, Atyrau Oil and Gas University, Atyrau, Kazakhstan
The process of removing liquid from the surface or inner layers of materials is widely used by various enterprises. To implement such a process, such a method of dehydration as drying is most often used. In drying technology, drum dryers are the most common type. Controlling a drum dryer causes problems such as low efficiency (0.4-0.6) and high operating costs. To eliminate these problems, it is proposed to develop a system of adaptive fuzzy control of a continuous-flow drum dryer in order to increase the efficiency of control of technological processes of drying sand by using intelligent technologies. The method for this article is adaptive control using fuzzy logic control, which has the ability to control the parameters of the dryer depending on changes in the parameters of the control object or external disturbances acting on the control object. Adaptive fuzzy controllers are created on the basis of the proposed method. A model of the control object has been developed taking into account the links between the parameters of the technological regime. The processing of the research results was carried out using the MatLab software. The practical significance of the article lies in the fact that the results can be used in enterprises where parallel-flow drying drums are used to obtain a product of the highest quality, as well as to reduce the cost of purchasing raw materials.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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