Automation of control processes in specialized pyrolysis complexes based on web SCADA systems

Kondratenko, Yuriy; Kozlov, Oleksiy; Gerasin, Oleksandr; Topalov, Andriy; Korobko, O. V.

doi:10.1109/idaacs.2017.8095059

Cited by 17 publications

(13 citation statements)

References 15 publications

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“…Along with this, such factors as time and cost hinder its widespread implementation [31]. No less important are the requirements for validity and reliability, put forward by modern sensor networks that are based on the concept of the Internet of Things [32] or use the distributed computer-integrated technologies for the automation of new production processes [33,34]. Introducing neural-controller control systems into modern production processes is also accompanied by the increasing requirements to the confirmation of workability and auto-calibration [35,36].…”

Section: Literature Review and Statement Of The Problem On Measuring mentioning

confidence: 99%

Recurrent network as a tool for calibration in automated systems and interactive simulators

Trunov¹,

Malcheniuk²

2018

EEJET

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Section: Literature Review and Statement Of The Problem On Measuring mentioning

confidence: 99%

Recurrent network as a tool for calibration in automated systems and interactive simulators

Trunov¹,

Malcheniuk²

2018

EEJET

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“…2) requires the use of flexible and distributed software architectures for calculating the centrifugal compressor. This, in turn, affects human-machine interaction and requires the development and use of high-quality software and user tools [38], [39]. The user interface (UI) capabilities should fully reflect the functionality of the program.…”

Section: Applied Computer Systems ___________________________________...mentioning

confidence: 99%

A Methodology and Information System for Computing and Optimization of Impellers and Vanned Diffusers Geometry Parameters

Nengjun¹,

Ryzhkov²,

Topalov

et al. 2022

Applied Computer Systems

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The study aims to develop an information-computing complex for computer design of a centrifugal compressor with parallel calculation of stages and optimization of the geometric parameters of the impellers and the diffusers. The paper presents a universal methodology and computerized information system of the main geometry parameter determination and optimization of the centrifugal compressor impellers and vanned diffusers. Optimization of cross-sectional areas of the input and output channels of the impeller and diffuser blade channels is held using a gradient descent method by gas flowrate quadratic integral deviation criteria. The information-computing complex is built on the algorithm proposed by the authors and implemented as a computer program with a human-machine interface. Calculation data are written in the form of numerical arrays with the possibility of interpolating data and obtaining graphical dependencies.

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“…The structures and parameters of the reference models are selected at this stage depending on the desired transients of the MIP variables. For a sufficiently large number of controlled plants, the desired transient should be aperiodic in nature with a minimum duration [2,4]. Thus, the reference models for the MIP variables can be defined by the transfer functions WRMi (s) of the following form…”

Section: Neuroevolution Based Approach To Design Of Control Systems Fmentioning

confidence: 99%

“…Nowadays, there is a high level of automation of all involved technological processes and technical nodes at any stage of the material (substance) processing in the various sectors of industry, energetics and transportation [1,2]. The use of highly effective automatic control systems of the technical plants is caused by the need of increasing their productivity, economic and operational indicators as well as the level of quality of the technological processes in general [3,4].…”

Section: Introductionmentioning

confidence: 99%

Neuroevolutionary Approach to Control of Complex Multicoordinate Interrelated Plants

Kondratenko¹,

Kozlov²,

Gerasin³

2019

IJC

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This paper presents the developed by the authors step-by-step neuroevolution based approach to designing control systems for complex multicoordinate interrelated plants (MIP). The proposed approach allows us to build the structure of the automatic control system (ACS) for the MIP on the basis of the single complex neural controller (NC) with multiple inputs and outputs as well as to implement the effective training of its multilayer neural network (NN) by means of the evolutionary based algorithm, taking into account the mutual influence of all variables of the MIP in an optimal way. In order to study and validate the efficiency of the presented approach the design of the ACS for the spatial motion of caterpillar mobile robot (MR) able to move on inclined and vertical ferromagnetic surfaces is carried out in this work. The developed ACS based on the NC with optimal structure allows us to achieve high quality indicators of spatial motion control, taking into account the mutual influence of control channels of the MR’s speed and angle that confirms the high efficiency of the proposed approach.

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Automation of control processes in specialized pyrolysis complexes based on web SCADA systems

Cited by 17 publications

References 15 publications

Recurrent network as a tool for calibration in automated systems and interactive simulators

Recurrent network as a tool for calibration in automated systems and interactive simulators

A Methodology and Information System for Computing and Optimization of Impellers and Vanned Diffusers Geometry Parameters

Neuroevolutionary Approach to Control of Complex Multicoordinate Interrelated Plants

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