ІНТЕЛЕКТУАЛЬНА СИСТЕМА УПРАВЛІННЯ В ОСВІТЛЕННІ ПІШОХІДНИХ ПЕРЕХОДІВ ДЛЯ ПІДВИЩЕННЯ ЕНЕРГОЕФЕКТИВНОСТІ

Purpose. Development of the concept of an intelligent control system for implementation in the scheme of pedestrian crossing lighting and design of a street lamp to reduces electricity costs and increases the service life of street lights, using technical devices such as dimmers and special motion sensors.Method. The research methods of theoretical analysis, modeling of appearance and creation of the scheme of intellectual control complex, basic provisions on lighting of pedestrian crossings and design of street lighting, analysis of possibilities of motion sensors and dimming at use in lighting are used.Results. Technologies of application of dimers and various motion sensors in lighting are analyzed and modern technological advantages of their use are allocated. Having identified a problem in the payment for electricity for street lighting for many local budgets, an intelligent control system for pedestrian crossing lighting was developed. The system allows obtaining of significant economic effect, reducing electricity consumption by a maximum of 70%. This saving is achieved by using dimming lamps and special narrow motion sensors, which have a viewing angle of 6 ° horizontally. At rest, the system keeps the lamp power at 50% until the person falls within the range of the sensor and the illumination rises to 100% for the set time. Specially selected sensors and their correct placement allow the system to work only when a person approaches a pedestrian crossing, and to remove accidental unpredictable inclusions. After analyzing the modern street lighting market, the design of a street lamp was created and proposed.Scientific novelty. It is proposed to use an intelligent control system in the lighting of pedestrian crossings, because now it is widely used only as part of the complex "smart home". Application in the scheme of lighting of pedestrian crossings of dimming and special narrowly directed motion sensors with a viewing angle of 6° horizontally that will allow to exclude accidental operation, both from people and cars, and from dogs and cats. A new design of the road lamp has been developed, based on the analyzed provisions on the correct lighting of pedestrian crossings.Practical significance. Lighting of pedestrian crossings is currently a problem in our country, because there are many accidents, and for good lighting you need to spend a lot of money on electricity from local budgets. This intelligent pedestrian crossing lighting control system is specially designed so that the use of electricity can be reduced by 70% and the service life of lamps can be significantly increased, for example by 1.5 times, but a more accurate value can be obtained only after the introduction of the first experimental sample. The use of such a system is possible throughout Ukraine at each crossing, unlike many other projects for lighting road crossings.

Intelligent control of the debarker tool

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.

Intelligent Technologies and Robotic Machines for Garden Crops Cultivation

The existing models of industrial robots cannot perform technological processes of apple harvesting. It is noted that there is a need for developing special actuators, grippers and new control algorithms for harvesting horticulture products. (Research purpose) The research aimed to develop an intelligent control system for horticulture industrial technologies and robotic techniques for yield monitoring and fruit harvesting. (Materials and methods) The research methodology was based on such modern methods as computer modeling and programming. In particular, the following methods were applied: systems analysis, artificial neural networks theory, pattern recognition, digital signal processing. The development of software, hardware and software was carried out in accordance with the requirements of GOST technical standards. The following programming languages were used: (C / C ++)-based OpenCV library, Spyder Python Development Environment, PyTorch and Flask frameworks, and JavaScript. Image marking for training neural networks was carried out via VGG ImageAnnotator and in Labelbox. The design process was based on the finite element method, CAD SolidWorks software environment. (Results and discussion) An intelligent management system for horticulture industrial technologies has been created based the on the «Agrointellect VIM» hardware and software complex. The concept of the system is shown to be implemented via computer and communication technology, robotic machines, the software for collecting, organizing, analyzing and storing data. The gripper proves to fix an apple gently and holds it securely. Depending on the size, the fruit fixation time is 1.5-2.0 seconds, the fruit maximum size is 85 per 80 millimeters , and its maximum weight is 500 grams. (Conclusions) The developed intelligent control system for industrial technologies based on «Agrointellect VIM» hardware and software complex ensures the efficient real-time processing of information necessary for the design of intelligent agricultural technologies using robotic machines and artificial intelligence systems.

Development of an intelligent electric drive control system anchor winch

Данная работа посвящена моделированию интеллектуальной системы управления электроприводом якорной лебедки с применением теории нечетких множеств. Был приведен анализ существующих систем управления электроприводами якорно-швартовных узлов основанных на различных традиционных схемах регулирования, показаны достоинства и недостатки традиционных систем управления, а также выявлены основные возмущения, носящие существенно-недетерминированный характер. Процедуры интеллектуального управления в реализуемой модели системы управления электроприводом реализуются нечетким регулятором. Интеллектуальная система управления в своей основе имеет нечеткий регулятор с алгоритмом вывода Сугено, формализация входных сигналов по ошибке осуществляется двумя лингвистическими переменными. Кроме того, показано преимущество предлагаемого подхода при построении систем управления электроприводами якорно-швартовных узлов на основании базовых показателей качества. This paper is devoted to the modeling of an intelligent control system for the electric drive of an anchor winch using the theory of fuzzy sets. The analysis of the existing control systems for electric drives of anchor and mooring units based on various traditional control schemes was given, the advantages and disadvantages of traditional control systems were shown, and the main disturbances of a significantly non-deterministic nature were identified. Intelligent control procedures in the implemented model of the electric drive control system are implemented by a fuzzy controller. The intelligent control system is based on a fuzzy controller with the Sugeno output algorithm, the formalization of input signals by error is carried out by two linguistic variables. In addition, the advantage of the proposed approach in the construction of control systems for electric drives of anchor and mooring units on the basis of basic quality indicators is shown.

Research on Automation of Test Skill Evaluation Based on Fuzzy Controller

The fuzzy control system is composed of an integral part of modern intelligent automatic control, can control of precision is difficult to directly establish the mathematical model of the intelligent control system object data for effective fuzzy control, so fuzzy has wide application field, considering the basic features of fuzzy control arithmetic, more close to the parallel processing of the way of fuzzy data stream, so fuzzy control is more suitable for implementation by a special control circuit, not only can not only improve the speed of data processing, and it also can improve the control system running stability. With the improvement of programming logic and programmable ability of FPGA, FPGA has the necessary ability to implement ASIC directly and meet the requirements of system programming and design on chip. It has become the development trend of FPGA. The fuzzy analog controller can be used as a digital analog controller of a DC/DC fuzzy converter. In the absence of Matlab/Simulinkc environment, a DC/DC fuzzy converter can be modeled by using Maplecs toolbox. The simulation test results firstly verify the practical feasibility of the fuzzy analog controller. Then PLXILINXXC3S500EFPGA chip is used to realize the fuzzy simulation controller, and good simulation results are obtained.

Passenger fl ows modeling approaches within the framework of the functioning of the Intelligent control system of urban rail transportation systems

The emergence of a large number of transport interchange hubs, changes in megalopolis transport system’s confi guration leads to increasing number of passengers and changing in passenger fl ows using rail transport, which aff ects its functioning and requires consideration when creating and organizing 560 Интеллектуальные системы управления Автоматика на транспорте. № 4, том 7, декабрь 2021 the operation of an intelligent control system for urban rail transport systems. The analysis of the experience in the passenger fl ows study will make it possible to create new algorithms for forecasting passenger traffi c using modern technologies of agent-based modelling and technical vision. The article discusses a parking vehicles model, which allows to consider the factors aff ecting the duration of parking: passenger traffi c, platform unoccupied time, the number of passengers carried, the number of wagons in the train. The article develops structural and mathematical models of passenger fl ows of a transport interchange hub, designed to study the dynamics of an intelligent control system for urban rail transport systems. As an example, when constructing a mathematical model, the interaction of passenger fl ows within the Dmitrovskaya transport-interchange hub was considered, in which there is an intersection of passenger fl ows of three urban rail transport systems: a tramway station, Dmitrovskaya station, which is a station of the Riga direction of Moscow railway and a stopping point of the MCD-2 line of the Moscow Central Diameters, the Dmitrovskaya station of the Moscow Metro.

The basic architecture of mobile robotic platform with intelligent motion control system and data transmission protection

The requirements for a mobile robotic platform (MRP) with an intelligent traffic control system and data transmission protection are determined. Main requirements are the reduction of dimensions, energy consumption, and cost; remote and intelligent autonomous traffic control; real-time cryptographic data protection; preservation of working capacity in the conditions of action of external factors; adaptation to customer requirements; ability to perform tasks independently in conditions of uncertainty of the external environment. It is proposed to develop a mobile robotic platform based on an integrated approach including: navigation methods, methods of pre-processing and image recognition; modern methods and algorithms of intelligent control, artificial neural networks, and fuzzy logic; neuro-like methods of cryptographic data transmission protection; modern components and modern element base; methods of intellectual processing and evaluation of data from sensors in the conditions of interference and incomplete information; methods and means of automated design of MRP hardware and software. The following principles were chosen for the development of a mobile robotic platform with an intelligent control system and cryptographic protection of data transmission: hierarchical construction of an intelligent control system; systematicity; variable composition of equipment; modularity; software openness; compatibility; specialization and adaptation of hardware and software to the structure of algorithms for data processing and protection; use of a set of basic design solutions. The basic architecture of a mobile robotic platform with an intelligent traffic control system and data transmission protection has been developed, which is the basis for the construction of mobile robotic platforms with specified technical and operational parameters. To implement neuro-like tools, the method of tabular-algorithmic calculation of the scalar product was improved, which due to the simultaneous formation of k macroparticle products provides k times reduction of the time of the scalar product calculation. Keywords: mobile robotic platform; intelligent processing; architecture; neural network; autonomous control; sensors; data protection.