Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Piotrovskiy Dmitriy Leonidovich

Scholastic degree


Academic rank

professor

Honorary rank

—

Organization, job position

Kuban State Technological University
   

Web site url

—

Email

-


Articles count: 21

146 kb

FORMULATION AND SOLUTION OF THE PROBLEM OF DISCRETE CONTROL IN THE THERMOPHILIC STAGE OF THE COMPOSTING PROCESS

abstract 1311707066 issue 131 pp. 783 – 792 29.09.2017 ru 321
The article formulates and solves the task of discrete control in the thermophilic stage of the composting process. It is shown that considering the relay control entity to maintain specified process conditions requires the organization of the sliding mode. We have solved the problem of minimizing the temperature deviation of the substrate from the set values and the deviation of the oxygen concentration in the gas phase of the bioreactor from the specified values. The article shows the algorithm to compute the discrete control of the composting process in the thermophilic stage. This work 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 the administration of the Krasnodar region
170 kb

THE STUDY OF LEARNING ALGORITHMS OF NEURO-FUZZY SYSTEMS CONTROL OF BIOTECHNOLOGICAL PROCESS

abstract 1281704026 issue 128 pp. 364 – 374 28.04.2017 ru 339
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
170 kb

COMPARATIVE ANALYSIS OF THE VENTILATION MODELS OF THE SUBSTRATE WHEN COMPOSTING

abstract 1221608071 issue 122 pp. 1033 – 1045 31.10.2016 ru 348
In the article we have performed a comparative analysis of a traditional system of air supply to the bioreactor during the composting process and the developed system with lateral air supply. We have proven to reduce temperature variation of the substrate as a result of the use of the ventilation system by 35%. During the simulation, equal to 1.0 hour, a ventilation system with side air flow provides a reduction of the accumulated degree of heterogeneity of status parameters of the substrate by 58%. Use of the ventilation system with side air flow reduces the duration of technological cycle of composting 7 %. 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
520 kb

ANALYSIS OF QUALITY INDICATORS OF AUTOMATIC CONTROL SYSTEMS WITH NONLINEAR APPROXIMATION CONTROL LAW

abstract 1291705087 issue 129 pp. 1213 – 1223 31.05.2017 ru 366
The subject of research of this work was the study of the quality of control processes in a nonlinear automatic control system with an approximating the control law. In the known published works there are no results of such studies, which makes it difficult to synthesis a nonlinear control system for multimode objects in applied biotechnology, including technological objects of the agro-industrial complex. A comparative analysis of the quality of regulation in the transient and steady-state regimes is carried out. It is shown that the approximation method used for the synthesis of the nonlinear control law provides a linear dependencies in steady-state and close to them modes in combination with relay modes in transient regimes, which is a positive factor for improving the quality of regulation in multimode control systems. It does not necessary to determine the moments of switching the dependencies in the control law when changing modes
266 kb

PARAMETRIC IDENTIFICATION OF THE PROCESS OF DRYING CORRUGATED BOARD

abstract 1251701016 issue 125 pp. 235 – 246 31.01.2017 ru 378
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
129 kb

COMPARATIVE ANALYSIS OF MODELS OF VENTILATION OF THE SUBSTRATE WITH THE COMPOSTING

abstract 1231609086 issue 123 pp. 1268 – 1278 30.11.2016 ru 414
In the article we consider the questions of modeling of temperature changes in the composting process, the changes of oxygen concentration and temperature with the air from the environment, produced the effect of composting heat exchange mass with the environment, the selected state variables and the control bioreactor, the dependence of the coefficients of the system equations of motion from the variable state of the object. 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 the administration of the Krasnodar region
182 kb

FORMULATION AND SOLUTION OF THE PROBLEM OF DISCRETE CONTROL IN THE THERMOPHILIC STAGE OF THE COMPOSTING PROCESS

abstract 1301706063 issue 130 pp. 883 – 893 30.06.2017 ru 438
The article formulates and solves the task of discrete control in the thermophilic stage of the composting process. It is shown, that considering the relay control entity to maintain specified process conditions requires the organization of the sliding mode. We have solved the problem of minimizing the temperature deviation of the substrate from the set values and the deviation of the oxygen concentration in the gas phase of the bioreactor from the specified values. The article shows an algorithm to compute the discrete control of the composting process in the thermophilic stage. 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 the administration of the Krasnodar region
279 kb

MATHEMATICAL MODEL OF A DRYING PROCESS OF CORRUGATED CARDBOARD

abstract 1151601026 issue 115 pp. 405 – 416 27.01.2016 ru 530
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
130 kb

MATHEMATICAL MODEL OF A VENTILATION SYSTEM WITH VARIABLE AIR FLOW ALONG THE VERTICAL AXIS OF THE REACTOR IN THE COMPOSTING PROCESS

abstract 1211607119 issue 121 pp. 1887 – 1896 30.09.2016 ru 576
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
389 kb

THE UNIVERSAL METHOD OF CALCULATING THE RANGES OF PARAMETERS OF THE CONTROL DEVICE, PROVIDING THE REQUIRED QUALITY OF THE TRANSITION PROCESS

abstract 1121508031 issue 112 pp. 409 – 419 30.10.2015 ru 857
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
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