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SUMMARY:Development of a model of the control process for the operation of
a steam generator plant based on methods of fuzzy logic in conditions of
uncertainty
DTSTART;VALUE=DATE-TIME:20210423T072000Z
DTEND;VALUE=DATE-TIME:20210423T073500Z
DTSTAMP;VALUE=DATE-TIME:20210918T194344Z
UID:indico-contribution-468@www.sewanconf.ru
DESCRIPTION:Speakers: Yuri Klimenko ()\nAnnotation. The article discusses
the possibility of developing a model of the process of controlling the pa
rameters of the functioning of a steam generating unit of small-scale powe
r generation based on the use of fuzzy logic methods in conditions of unce
rtainty for the optimal distribution of raw materials and fuel and energy
resources. Introduction.Currently\, the fuel and energy complex (FEC) is
in the process of carrying out new structural transformations. In remote a
reas of Siberia\, the Far East\, the Far North\, economic development is b
eing held back. The reason for this is the lack of a reliable heating and
power supply. A significant limitation in energy resources hinders the eco
nomic and social development of these regions of the country. This can be
solved by developing small-scale power generation for the production of el
ectricity and heat to provide the population of remote areas using a steam
generator unit (SGU) with automated control of the optimal distribution o
f raw materials and fuel and energy resources.A functional model of optima
l resource allocation has been developed\, the main functions and interrel
ationships of control modules have been determined. The model consists of
the following modules: the module for calculating the parameters\, the mod
ule for setting the operating conditions of the SGU unit\, the module for
solving the optimization problem\, the module for analyzing the results ob
tained and issuing recommendations for optimizing the parameters of the SG
U unit operation.\n1. Module for calculating parameters.1.1 Calculation of
parameters characterizing thermal\, gas-dynamic and other modes of SGU op
eration. The estimation of the parameters should be carried out using the
balance model of the process developed within the framework of the natural
-model approach\, which can be conditionally divided into two parts: the b
ase state model and the predictive model. The model of the base (reference
) state makes it possible to assess the state of the SGU unit and the infl
uence of the input parameters on the thermal\, gas-dynamic and other modes
using all actually available information about the process parameters. 2.
Module for setting the operating conditions of the SGU.\n2.1 Planned aver
age consumption of fuel\, water and steam\, electricity.2.2 Restrictions f
or the SGU unit on the supply of raw materials\, fuel consumption\, steam\
, electricity. 2.3 Technological limitations of SGU.3. Module for solving
the optimization problem.\n3.1 Selection of the optimal consumption of raw
materials. 3.2 Selection of the optimal consumption of fuel and energy re
sources. 3.3 Selection of the optimum temperature\, pressure and other par
ameters of steam generation for the normal operation of the SGU.4. Module
for analyzing the results obtained.\nThe structure of the control model of
the control process with optimal resource allocation is shown in Fig.1.In
vestigation of the control process under conditions of uncertainty.The pec
uliarities of the process of fuzzy control of the functioning of the SGU a
re built on the principles of fuzzy logic\, the concepts of the theory of
fuzzy sets for control under conditions of uncertainty in the absence of c
omplete information.Selection of mathematical control methods for various
types of uncertainty:the type of data uncertainty about the control object
\;type of model (linguistic and expert)\;mathematical methods of formalizi
ng uncertainty: methods of the theory of fuzzy sets\, methods of decision-
making\, fuzzy logic\, situational control.\nA control model scheme based
on fuzzy control regulates a certain number of parameters and is shown in
Fig. 2.A fuzzy inference model is proposed that contains 4 input and 4 out
put linguistic variables. The controlled input variables are the volumes o
f supplied resources (fuel\, water\, electricity\, fuels and lubricants).T
he resulting output parameters are the optimal values of the generated res
ources (electrical power\, water heating temperature of systems\, cooling
temperature). The possibility of using fuzzy control to create a model of
the process of fuzzy control of the SGU operation was considered to regula
te a certain number of input parameters to minimize costs and obtain the m
aximum output resource.\nIn the presented work\, a model for controlling t
he functioning of a SGU unit is considered\, which is built on the princip
les of fuzzy logic\, the concepts of the theory of fuzzy sets and situatio
nal control in conditions of uncertainty\, conditions of uncertainty and c
hanges in functioning parameters. It is proposed to use fuzzy situational
control to solve this problem.\n\nhttps://www.sewanconf.ru/event/4/contrib
utions/468/
LOCATION:Lomonosov st. 9 1226
URL:https://www.sewanconf.ru/event/4/contributions/468/
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