Mathematical Model of Ecopyrogenesis Reactor with Fuzzy Parametrical Identification

Kondratenko, Yuriy; Kozlov, Oleksiy

doi:10.1007/978-3-319-32229-2_30

Cited by 11 publications

(4 citation statements)

References 11 publications

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“…So, in recent years, there has been a notable shift towards the implementation of intelligent control systems for the automation of UAVs, and among these, systems founded on fuzzy logic have emerged as particularly promising [39][40][41]. Fuzzy logic control leverages a flexible and adaptive approach to decision-making, allowing for nuanced responses to complex and uncertain environments [42][43][44]. Unlike traditional binary logic, which relies on precise, yes-or-no conditions, fuzzy logic enables UAVs to navigate through dynamic and rapidly changing scenarios with a degree of subtlety and adaptability that is essential for real-world applications.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Intelligent IoT-based Control System of the UAV for Meteorological Measurements

Kozlov,

Kondratenko,

Skakodub

2024

JMM

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This study focuses on the creation and examination of an intelligent automated control system for UAVs utilized in meteorological measurements based on the Internet of Things (IoT) and mobile technologies. The proposed system enables the achievement of commendable flight control standards for UAVs during meteorological data gathering, thereby markedly enhancing the overall effectiveness of meteorological stations. Notably, this system is constructed on the foundation of three integrated principles: (a) a hierarchical two-level approach for control and data collection based on IoT and mobile technologies, (b) a straightforward and dependable fuzzy logic control characterized by high performance, and (c) the effective optimization of fuzzy control components through the application of bio-inspired multi-agent computing techniques. To assess the performance of the suggested intelligent system, this study involves the creation and bioinspired optimization of the climb speed fuzzy controller. Subsequent simulation experiments are conducted to evaluate the automatic control of UAV’s flight processes under different modes. The analysis of the simulation results indicates that the developed system, utilizing fuzzy control, exhibits superior efficiency and higher quality metrics when compared to existing counterparts, especially in diverse flight scenarios such as uniform climbing, gradual approach to designated altitude levels, and smooth landing during meteorological measurements.

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Section: Brief Literature Reviewmentioning

confidence: 99%

Intelligent IoT-based Control System of the UAV for Meteorological Measurements

Kozlov,

Kondratenko,

Skakodub

2024

JMM

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“…To further improve the developed decision support system and the presented mobile application for calculating the ballasting plan for a floating dock, fuzzy logic algorithms can be quite effectively applied [43][44][45]. Moreover, the optimization procedures of the developed support system to determine the required ballasting are highly promising and hold significant potential for enhancing its quality indicators.…”

Section: Implementation Of the Mobile Application For The Decision Su...mentioning

confidence: 99%

A Mobile Application of a Decision Support System for Ballasting a Floating Dock

Topalov,

Kondratenko,

Shevchenko

et al. 2024

JMM

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This paper is devoted to increasing the automation level of docking operations through the development of a mobile application for a decision support system capable of determining the optimal option for loading ballast into floating dock compartments when setting up and launching ships. The proposed decision support system and the mobile application allow implementing effective ballasting of the floating dock before docking the ship based on mathematical calculations of the impact of the ship on the floating dock and the ballasting rules. To test the developed system, the paper presents the functioning of the mobile application for a case of calculation of the docking up process of a 4,100-ton ship. In particular, the load forces of this ship are calculated with a graphical display of the distribution of the influence of 20 sections of the ship on 6 pontoons of the floating dock. As a result, this decision support system with the implemented mobile application has the characteristics of a convenient interface and is easy to operate. It can provide the dockmaster data and suggestions for decision-making, and during its operation, it is actively replenished with a database of the docked up ships.

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“…Furthermore, sufficient attention has been paid to the development and research of mathematical and simulation models of various pyrolysis plants and their separate components (reactors, circulation systems, heat exchangers, etc.) [25][26][27][28], including the use of fuzzy logic, soft computing and other intelligent techniques [29,30]. Also, currently, a sufficient number of examples of the successful application of intelligent and other advanced algorithms and devices for the implementation of effective control of certain technological variables of waste utilizing complexes have been presented [31,32].…”

Section: Related Workmentioning

confidence: 99%

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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Mathematical Model of Ecopyrogenesis Reactor with Fuzzy Parametrical Identification

Cited by 11 publications

References 11 publications

Intelligent IoT-based Control System of the UAV for Meteorological Measurements

Intelligent IoT-based Control System of the UAV for Meteorological Measurements

A Mobile Application of a Decision Support System for Ballasting a Floating Dock

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

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