Application of intelligent systems to optimize the production of science intensive products

2021 ◽  
Author(s):  
A.A. Chursin
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Life Cycle ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Intelligent System ◽  
High Tech ◽  
Intelligent Control System ◽  
Economic Decisions

The construction of an intelligent control system for the production of science intensive products is considered. An economic and mathematical model of the functioning of the system at all stages of the life cycle of science intensive products is proposed, the informational principle of making economic decisions under conditions of uncertainty is formulated. Keywords: science intensive products, high-tech production, intelligent system. [email protected]

scholarly journals Analysis of the State of Trains Delayed From Traffic at the Far Eastern Railway Range

2021 ◽  
Vol 7 (2) ◽  
pp. 258-261
Author(s):  
A. Buyalo ◽  
A. Kakunina
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Integrated Approach ◽  
The State ◽  
Railway Transport ◽  
Intelligent Control System ◽  
Far Eastern ◽  
Great Development

The article provides an analysis and systematization of the reasons for abandoning trains, highlighting the main reasons, as well as factors of the first and second levels. At present, intelligent systems are undergoing great development. Such a system is an intelligent control system for railway transport. Savings, if used according to the calculations, will be significant. Also, a large number of receiving and departure tracks at intermediate stations are freed, which will increase the efficiency of the railway performance, as well as reduce the losses of shippers. In conclusion, it is concluded that an integrated approach is needed from the side of the logistics component and from the side of the organization of train traffic.

scholarly journals Development of an intelligent control system for a dairy plant to ensure energy efficient use of technological equipment

2020 ◽  
pp. 38-54
Author(s):  
◽  
N. Zaiets ◽  
V. Shtepa ◽  
N. Gritsenko ◽  
◽  
...  
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Energy Efficient ◽  
Intelligent System ◽  
Information Support ◽  
Optimal Decision ◽  
Technological Equipment ◽  
Cognitive Approach ◽  
Intelligent Control System ◽  
Technological Complex

Now there is a need to improve the automated control system by creating an intelligent system that will comprehensively assess the technical and economic performance of the technological complex of multi-range production and form a plan for energy efficient management of technological equipment. To achieve this goal, it is advisable to use decision support systems based on the use of algorithms, procedures, methods of cognitive approach based on neural networks The purpose of the study is to develop information support for an intelligent dairy management system to ensure energy efficient use of technological equipment. The article presents the development of an intelligent control system for high-quality assortment production using an intelligent system for energy-efficient control of technological equipment, which quickly and efficiently in real time makes an optimal decision on the management of a dairy production complex and contributes to improving the efficiency of its functioning. The structure of the database of the intelligent system has been formed and the stages of creating an intelligent control system for the energy efficient use of technological equipment, which takes into account the peculiarities of the functioning of individual units of the technological complex, have been determined. The calculation of energy savings in the manufacture of certain types of products for a week was carried out to compare the energy efficiency of the enterprise according to the scenario set by the intelligent system and in normal mode.

scholarly journals Intelligent control of the debarker tool

2021 ◽  
Author(s):  
В.В. Побединский ◽  
И.Н. Кручинин ◽  
С.В. Ляхов ◽  
Е.В. Побединский
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Intelligent Control ◽  
Intelligent System ◽  
Hydraulic Drive ◽  
Rule Base ◽  
Processing Technologies ◽  
Matlab Simulink ◽  
Intelligent Control System ◽  
The Given

Рассмотрена проблема совершенствования роторных окорочных станков, которые во всех технологиях лесопереработки лесопромышленных стран используются в обязательном порядке. Несмотря на достаточно отработанную конструкцию, тем не менее, основные технологические операции станка не оснащены современными адаптивными системами автоматического управления (САУ). Ранее были предложены разработки на основе пневмогидропривода с использованием автоматического управления на основе нечеткой логики. В предложенной системе автоматического управления выполняется стабилизация заданного усилия прижима режущего инструмента – короснимателя. Однако заданное усилие зависит от ряда технологических параметров, которые характеризуются неопределенностью, и проблема управления заданным прижимом инструмента осталась нерешенной. Таким образом определилась цель исследований, которая заключалась в создании интеллектуальной системы автоматического управления заданным прижимом короснимателя окорочного станка. Решались следующие задачи: 1) разработка схемы интеллектуального управления короснимателем; 2) разработка схемы обобщенной интеллектуальной системы управления в виде нейронечеткой сети; 3) постановка задачи управления заданным прижимом инструмента; 4) обоснование входных и выходных переменных задачи (фаззификация); 5) разработка базы правил нечеткой системы; 6) выполнение нечетких выводов для промежуточных и заключительного слоев сети в среде Matlab; 7) реализация модели интеллектуальной системы в среде Matlab+Simulink. Результатами работы является модель интеллектуальной системы управления короснимателем и ее программная реализация в среде Simulink для использования в практике проектирования роторных окорочных станков. The problem of improving the rotary debarkers, which are used without fail in all timber processing technologies of the timber industry countries, is considered. Despite the sufficiently developed design, nevertheless, the main technological operations of the machine are not equipped with modern adaptive automatic control systems (ACS). Previously, developments based on a pneumatic hydraulic drive were proposed using automatic control based on fuzzy logic. In the proposed automatic control system, the stabilization of a given pressing force of the cutting tool – the debarker is performed. However, the given force depends on a number of technological parameters, which are characterized by uncertainty, and the problem of controlling the given clamping of the tool remains unsolved. Thus, the goal of the research was determined, which was to create an intelligent system for automatic control of a given pressure of the debarker staple lifter. The following tasks were solved: 1) development of an intelligent control scheme for the debarker; 2) development of a diagram of a generalized intelligent control system in the form of a neuro-fuzzy network; 3) setting the task of controlling the given clamping of the tool; 4) justification of the input and output variables of the problem (fuzzification); 5) development of a fuzzy system rule base; 6) execution of fuzzy conclusions for intermediate and final layers of the network in the Matlab environment; 7) implementation of the model of an intelligent system in the Matlab + Simulink environment. The results of the work are a model of an intelligent control system for the debarker and its software implementation in the Simulink environment for use in the practice of designing rotary debarkers.

Control System of Image Synthesis Based on Cluster Mathematical Model of K-Means Intelligent Computer

2014 ◽  
Vol 543-547 ◽  
pp. 2431-2434
Author(s):  
Hai Ying Liu
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Control System ◽  
Intelligent Control ◽  
Clustering Algorithm ◽  
Image Synthesis ◽  
Intelligent Control System ◽  
Clustering Model ◽  
Automatic Control Theory ◽  
Intelligent Computer

On the basis of computer automatic control theory of artificial intelligence, we use Kmeans clustering algorithm to establish mathematical model of automatic art synthesis for computer painting, and realize the computer artificial intelligence painting synthesis by using MATLAB software. In the first part we introduce the intelligent control system of computer drawing in detail, and do decomposition and combination on the frame number by using the computer intelligent drawing cell. In the second part we establish the intelligent clustering model of Kmeans algorithm, and introduce the model painting synthesis. In order to verify the availability and reliability of the model designed in this paper, we design simulation experiment of MATLAB drawing synthesis, and obtain the art synthesis of clothing abstract drawing by calculation. It provides the theory reference for the research on computer artificial intelligence control technology

Study on the Composition and Control of Robot Structure

2013 ◽  
Vol 273 ◽  
pp. 646-649 ◽  
Author(s):  
Bo Feng
Keyword(s):  
Control System ◽  
Research And Development ◽  
Intelligent Control ◽  
High Tech ◽  
Human Society ◽  
Typical Representative ◽  
Intelligent Control System ◽  
Working Performance ◽  
And Control ◽  
Made In

Robot is a typical representative of high-tech research results. In a robot, the wisdom of human is applied throughout its whole structure, and also task commands are executed through an intelligent control system. Human society is always progressive and innovative. It is believed that great breakthroughs will be made to the future robots in structural combination, automatic control, working performance and so on. China is still a country in the developing stage, and therefore the research and manufacturing activities of robot products will be increasingly more. It is necessary for the research and development of robots at any period to give priority to "functional standards". On this basis, a study is made in this paper.

Semantics in an intelligent control system

1994 ◽  
Vol 349 (1689) ◽  
pp. 43-58 ◽  
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Semantic Information ◽  
Minor Importance ◽  
Global Information ◽  
Good Theory ◽  
Alternative Control ◽  
Intelligent Control System ◽  
Information Level

Much research on intelligent systems has concentrated on low level mechanisms or limited subsystems. We need to understand how to assemble the components in an architecture for a complete agent with its own mind, driven by its own desires. A mind is a self-modifying control system, with a hierarchy of levels of control and a different hierarchy of levels of implementation. AI needs to explore alternative control architectures and their implications for human, animal and artificial minds. Only when we have a good theory of actual and possible architectures can we solve old problems about the concept of mind and causal roles of desires, beliefs, intentions, etc. The global information level ‘virtual machine’ architecture is more relevant to this than detailed mechanisms. For example, differences between connectionist and symbolic implementations may be of minor importance. An architecture provides a framework for systematically generating concepts of possible states and processes. Lacking this, philosophers cannot provide good analyses of concepts, psychologists and biologists cannot specify what they are trying to explain or explain it, and psychotherapists and educationalists are left groping with ill-understood problems. The paper outlines some requirements for such architectures showing the importance of an idea shared between engineers and philosophers: the concept of ‘semantic information’.

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