Control of Stochastic Systems Based on the Predictive Models of Random Sequences

Atamanyuk, Igor; Kacprzyk, Janusz; Kondratenko, Yuriy; Solesvik, Marina

doi:10.1007/978-3-030-21927-7_6

Cited by 1 publication

(2 citation statements)

References 56 publications

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“…In the stationary mode of the pyrolysis plant operation, the calorific value Q i r of the obtained pyrolysis gas and the temperature T of the pyrolysis process, depending on the MSW supply G 1 and air flow Q 1 , can be calculated based on expressions (10) and (11), respectively [38]:…”

Section: Main Aspects Of the Fuzzy Control Methods Of The Pyrolysis P...mentioning

confidence: 99%

“…Additional difficulties are imposed when changing the composition of the input waste, as well as its moisture content during the operation of the pyrolysis plant. As some modern studies show, to automate complex thermal power and chemical facilities for increasing the efficiency of their operation and reliability, in many cases, it is necessary to develop new control methods [7][8][9][10]. Moreover, advanced research confirms that intelligent control principles can be applied quite effectively to automate complex plants of this type [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Automatic Control of the Pyrolysis Process for the Municipal Solid Waste of Variable Composition

Kondratenko¹,

Kozlov²,

Lysiuk³

et al. 2023

JAMRIS

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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 on a specific example, in particular, when automating the pyrolysis plant for the MSW disposal with the reactor volume of 250 liters. The obtained simulation results confirm the high efficiency of the developed method, as well as the feasibility of its use for designing automatic control systems of various pyrolysis plants that operate under conditions of changes in the composition and moisture content of input waste.

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Section: Main Aspects Of the Fuzzy Control Methods Of The Pyrolysis P...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy Automatic Control of the Pyrolysis Process for the Municipal Solid Waste of Variable Composition

Kondratenko¹,

Kozlov²,

Lysiuk³

et al. 2023

JAMRIS

View full text Add to dashboard Cite

show abstract

Control of Stochastic Systems Based on the Predictive Models of Random Sequences

Cited by 1 publication

References 56 publications

Fuzzy Automatic Control of the Pyrolysis Process for the Municipal Solid Waste of Variable Composition

Fuzzy Automatic Control of the Pyrolysis Process for the Municipal Solid Waste of Variable Composition

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