Kuban State Technological University
Author list of organization
List of articles written by the authors of the organization
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PARAMETRIC IDENTIFICATION OF THE PROCESS OF DRYING CORRUGATED BOARD
DescriptionThe 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
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ANALYSIS OF QUALITY INDICATORS OF AUTOMATIC CONTROL SYSTEMS WITH NONLINEAR APPROXIMATION CONTROL LAW
DescriptionThe 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
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Description
We have presented a table of analogues of mechanical and electrical quantities of a thermal power plant, which shows the relation between the useful power of the engine and mechanical efficiency, as well as the relationship between engine parameters and regime of its operation; we have also developed an electro-mechanical analogy, which helped to get the expressions linking the useful engine power with shaft speed, engine performance, coefficient of mechanical resistance and mechanical efficiency with speed, coefficient of drag and engine performance. Similar expressions were obtained for the relations of these variables with other sets of parameters. The article also shows corresponding graphs. The expressions for the maximum net power and corresponding speed of rotation was found. Thus, the efficiency isЅ. It is shown that in larger (compared with the extreme) speed, the mode is less efficient than with the smaller, for the same useful power. A method is presented to measure the important characteristics of the finished engine – motor operation and its rotational drag coefficient used in the resulting expressions
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COMPARATIVE ANALYSIS OF THE VENTILATION MODELS OF THE SUBSTRATE WHEN COMPOSTING
DescriptionIn 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
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SCENARIO APPROACH TO PROJECT MANAGEMENT
DescriptionThe study was carried out with the financial support of the Russian Foundation for Basic Research, within the framework of the RFBR research project 17-02- 00475a "Application of metaheuristic algorithms to solving direct and inverse problems of optimizing control of spatially distributed complexes". The article considers the task of scenario approach to project management in case of abnormal progress of its implementation. Various contingencies have been analyzed in the course of project implementation. A model of the scenario approach for project management using the training principle with reinforcement is proposed
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THE STUDY OF LEARNING ALGORITHMS OF NEURO-FUZZY SYSTEMS CONTROL OF BIOTECHNOLOGICAL PROCESS
DescriptionThe 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
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THE TASK OF FORECASTING OF PUBLICATION ACTIVITY
DescriptionIn the article questions of forecasting of publication activity and a problem of planning of actions on management of publicity activity of scientific collective are considered
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METHODIC OF KNOWLEDGE ASSESSMENT WITHIN THE FRAMEWORK OF THE AUTOMATED TESTING SYSTEM
DescriptionIn this article, we consider approaches to the transfer of knowledge to students and an objective semiautomatic assessment of knowledge. The characteristic features of the application and the possibility of using cognitive training methodologies and complex systems for testing skills and the theoretical base of trainees are analyzed. The problems of development of this direction and possible ways of their solution are described. The basic concepts are introduced and the existing methods of calculating the average score for checking the student's knowledge are considered, and a new approach to solving this problem is proposed. Based on the conducted researches it is offered to use the complex system of testing of end users, which includes testing, monitoring, collecting, analyzing and displaying the results of students/groups/ course. The main requirements for the creation of such a complex and the rules to be followed are formulated for a more objective assessment of knowledge. A model of an integrated modular system for objective semi-automatic testing of knowledge through testing is described
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Description
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
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Description
This article is dedicated to the study of the parameters of the artificial immune system for solving the polymorphic viruses’ detection problem. The goal is to define a vector of the immune system parameters that would ensure the minimum number of errors of the first kind, the minimum number of errors of the second kind and the maximum percentage of polymorphic viruses’ detection. That is, the most accurate classification of them as a malicious code, in relation to any theoretically possible vector of parameters of the artificial immune system. A distinctive feature of the studied artificial immune system is the use of a class of genetic algorithms that provide more efficient training of detectors. The configurable parameters of the system are: the algorithm for determining the proximity of the detector and the pathogen, which can be realized by determining the Levenshtein distance or by the method of adjacent bits; as well as the method of implementing the crossing-over operator, the method of implementing the mutation operator, the method of implementing the selection operator, the algorithm for determining the proximity of the detector lines. In addition, the article considers the expediency of using a distributed network of several nodes, each of which will have an immune system that will exchange data with other nodes of the network. As a result of the research, a set of optimal parameters was obtained in which the system achieves the maximum accuracy of recognition of polymorphic viruses