2023
DOI: 10.14313/jamris/1-2022/9
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Fuzzy Automatic Control of the Pyrolysis Process for the Municipal Solid Waste of Variable Composition

Abstract: control of the pyrolysis process of municipal solid waste (MSW) of variable composition and moisture content. The fuzzy control method is developed and studied that makes it possible to carry out the proper automatic control of the pyrolysis plant with the determination of the optimal ratio of air/MSW for various types of waste and with different moisture content values to ensure high efficiency of the MSW disposal process. The effectiveness study of the proposed fuzzy control method is performed in this paper… Show more

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“…Kondratenko and Kozlov's exploration into generating rule bases for fuzzy systems delves into the use of Modi ied Ant Colony Algorithms, demonstrating the capability of such algorithms to enhance the performance and accuracy of rule formulations [17]. Furthermore, a 2022 publication by Kozlov et al accentuates the importance of fuzzy logic in managing the complexity of the pyrolysis process, especially when dealing with municipal solid waste of varying composition [18]. This underscores the adaptability of fuzzy systems in handling heterogeneous inputs, a situation frequently encountered in power plants.…”
Section: Related Workmentioning
confidence: 99%
“…Kondratenko and Kozlov's exploration into generating rule bases for fuzzy systems delves into the use of Modi ied Ant Colony Algorithms, demonstrating the capability of such algorithms to enhance the performance and accuracy of rule formulations [17]. Furthermore, a 2022 publication by Kozlov et al accentuates the importance of fuzzy logic in managing the complexity of the pyrolysis process, especially when dealing with municipal solid waste of varying composition [18]. This underscores the adaptability of fuzzy systems in handling heterogeneous inputs, a situation frequently encountered in power plants.…”
Section: Related Workmentioning
confidence: 99%