Name
Piotrovskiy Dmitriy Leonidovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Technological University
Web site url
—
Articles count: 21
The article considers the problems of determining the
settings area of the control device, which ensure stable
operation of the closed system. It shows the solution to
the problem using the enhanced amplitude-phase characteristics.
The proposed method of finding the domain
of stability of parameters of the control device is
more simple than classical methods and allows, in
general, to find conditions for the stability, not to test
the system for stability under given parameters
The subject of study of this work was learning algorithm of neuro-fuzzy systems with different membership functions. In the prior works there are no published studies of such studies, making it difficult synthesis of neuro-fuzzy control system with new objects in the application of biotechnology, including technological agribusiness entities. A comparative analysis of learning algorithms of neuro-fuzzy system with different membership functions using the method of error back propagation and а hybrid method. For this we used a training sample that contains data of temperature and concentration of dissolved gas in the culture liquid: oxygen (pO2), carbon dioxide (pCO2) of a biotechnological process. It is shown that the hybrid method carries out training of a neural network for the number of periods is 23 times smaller than the algorithm back-propagation errors. The studies found that the two-sided Gaussian membership function provides the smallest learning error of the network δ equal of 3,28•10–3, compared to the other, giving the largest error of training the neural network δ=0,138. Therefore, the task of running the fermentation process effective is the use a hybrid method of education and two-sided Gaussian membership functions. According to the research, we can conclude that for the adaptation of neuro-fuzzy network ANFIS and fuzzy inference system Sugeno zero order to solve biotechnological process control tasks microbiological production efficiency is to use a hybrid method of education and bilateral Gaussian membership functions
The article considers the issues of digital process con-trol heating air in the dryer shaft
The article identifies the unknown parameters of the transfer functions of governing and operating channels of the control object. To do this, we have carried out processing of results of experiments. It is shown that there is not only dynamic but also static nonlinearity of the control object, expressed in physically less persistence processes increase the pressure by increasing the opening of the steam regulating valve compared with the opposite processes
The article is a study of digital continuous system and
optimization of digital control systems. It is shown that
the standard in the synthesis of digital systems should
provide a continuous system, so first we need to create
the desired continuous system and then we could try to
get the digital system closer to it
The article is devoted to the point of optimizing the sys-tem of digital control, containing an engine. It is also devoted to the point of applying different laws of control. There are submitted practical recommendations on using the digital controller with double derivation
The article submits a mathematical dynamic model of varying pressure of the steam, depending on fuel supplying in the boilers
The process of drying of a corrugated cardboard is described and the mathematical model is resulted in this article. Questions of use of the received model are considered at process research
In the article, we present the mathematical model of a
ventilation system with variable air flow along the
vertical axis of the reactor in the composting process. We
have solved the problem of the choice of the method of
supplying air to the bioreactor, reducing the temperature
of the substrate along the axis of the bioreactor. The
proposed method provides a reduction of temperature
and moisture content of the gas phase, which leads to a
change in the dynamics of the composting process. This
article was prepared in the framework of the scientific
project 16-48-230441 a(R) "Mathematical modeling of
the processes occurring in the automated installation for
year-round production of organic fertilizers in the
conditions of the Krasnodar region", financed by RFBR
and administration of the Krasnodar region
The feature of the process of drying of corrugated
cardboard is different drying processes on three
sections of the drying table. The article solves the
problem of obtaining a mathematical model of drying
process of corrugated cardboard. This structural
identification process, defined the input and output
parameters, denoted the transmission coefficients for
the control channels and indignation