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Keywords:
catalytic reforming, optimality criterion, automatic control system, octane number of gasoline, optimal control.
The catalytic reforming technological process, which is one of the main directions of the petrochemical industry,
produces, not only the aren hydrocarbons but also the high octane car gasoline. The unit named L35-11 is designed with
3 internal reactors and 3 heating furnaces with internal catalyst layer as main parts, and separator block, air cooling column
and adsorber column as secondary parts. This process, in which catalysts act as the main influencing component, is
characterized by a number of controlled parameters, such as pressure in reactor blocks, fuel gas consumption, temperature
of raw materials at the output of heating furnaces, activity of the catalyst and etc. Platinum-based PR-81 is used as catalyst
for the reaction. As the production of car gasoline is one of the priority areas for the development of the economy of most
countries around the world, there is a constant need to create innovative solutions in order to increase its productivity. [1]
As we know the quality of the final product obtained at the end of the process is highly depends on the functional
and structural realization of the control system applied to the every part of the unit. That is why the issue is always
relevant. One of the main stages for the implementation of the optimal control system of any technological process is the
development of its mathematical model. In general, the mathematical model is characterized by appropriate input, output,
excitation, and other such parameters.
We can point to A.M Dzhambekov [2] as one of the scientists who contributed to the development of the existing
process. He worked to implement an optimal management system that could maximize the productivity of catalytic reform
under the condition of limited use of catalysts.
During the research, the effect of the temperature of the raw material on the change of percentage of aren hydro
carbons in the final product is investigated. The proposed new control method is based on increasing the quality of aren
hydrocarbons in the process output by optimally distributing the temperature at the output of the reactors [3].
Author suggests a progressive methodology for constructing a regression mathematical model of the process
with incomplete data is proposed. The point of this method is that the structural mathematical model of the object is set
according to the source data. Then, in the established sphere with the help numerical method the optimal estimation of
coefficients is produced, which minimize the root mean square errors. The advantage of the proposed method is that it
helps to reduce volume of calculations [4].
An analysis of automatic control systems designed over the years for a catalytic reforming process for gasoline
production suggests that in most cases the control system may not maintain its adaptability over time, resulting in
discrepancies in the octane number of the product and its output. This leads to a decrease in productivity of the process.
The problem we face is coming from the inability to obtain accurate and uninterrupted information about the parameters
that characterize the entire process, the inability in controlling the change in the activity of the catalyst layer inside reactor
block, which is one of the leading component of the process, and the shortcomings of the software and hardware.
The purpose of the work was the implementation of a real-time automatic control system aimed at increasing the
octane number of gasoline, which is an output of the catalytic reforming process. The following suggests the methods
aimed at solving the problem:
The technological process is described structurally and functionally and its algorithm is developed
‘Rosemount’ automation solutions designed by ‘Emerson’ are selected as the basis of the hardware and its
visualization task is performed with the help of Simatic WinCC software package.
A mathematical model aimed at solving the problem is developed in the obtained information database and an
optimal control algorithm based on this model is built.
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