ELABORATION OF PROJECT DOCUMENTATION FOR THE GAS-AIR PATH AUTOMATION SYSTEM

2021 ◽  
Author(s):  
Владислав Григорьевич Положай
Keyword(s):  
Control Systems ◽  
Energy Sector ◽  
Automation System ◽  
Technical Documentation ◽  
Technical Control ◽  
Project Documentation ◽  
Safety Rules

В данной статье описываются этапы разработки проектной документации АСУТП регулятора общего воздуха с учетом требований нормативно-технических документов, направленных на создание условий пожарной, электрической, экологической безопасности промышленных предприятий. Материалы статьи могут быть использованы в области управления в технических системах в энергетике при разработке функциональных схем, определяющих управление и регулирование технологического процесса. The aim of the article is to describe the elaboration stages of project documentation for the total air regulator. Functional automation schemes are elaborated according to the requirements of technical documentation aimed at ensuring safety rules. The article may be used in the field of technical control systems in energy sector.

scholarly journals IMPLEMENTASI ARM MANIPULATOR DAN SENSOR WARNA DALAM PROTOTYPE OTOMATISASI SISTEM PENYORTIR BOX BERWARNA BERBASIS MIKROKONTROLLER AVR ATMEGA 8535

2015 ◽  
Vol 17 (2) ◽  
Author(s):  
Roby Adi Wibowo ◽  
Subali Subali
Keyword(s):  
Control Systems ◽  
Rapid Development ◽  
Automation System ◽  
Work Process ◽  
Time Efficiency ◽  
Color Sensor ◽  
Manipulator Arm ◽  
Automation Control

Roby Adi Wibowo, Subali, in paper implementation of ARM manipulator and color sensor in prototype of color box sorter automation system based on microcontroller AVR ATMega 8535 explain that the rapid development of technology at all times encourage people to overcome problems that arise around it. With a view to facilitate the work and time efficiency. Included in the field of automation control systems in a work process. One of these systems automation in sorting colored box, so that a product can be separated from one another and in accordance with the qualifications color. In this final task will be made a colored box sorter automation system using the color sensor as a detector and a manipulator arm actuator to take the box to place each color.   Keywords; Arm manipulator, colours sensor

scholarly journals Smart Thermostats in Building Automation Systems and Smart Homes

2020 ◽  
Author(s):  
V.V. Goman ◽  
S.I. Korolev
Keyword(s):  
Control Systems ◽  
User Behavior ◽  
Smart Homes ◽  
Automation System ◽  
Building Automation ◽  
Temperature Regulator ◽  
Advantages And Disadvantages ◽  
Automation Systems ◽  
Smart Thermostat ◽  
Self Learning

This article surveys the current achievements concerning smart thermostats for smart homes and smart buildings and observes the level of smartness of the microclimate control systems for buildings and rooms. The article shows the results of analyzes the advantages and disadvantages of the marketed solutions and sets requirements for smart thermostat as a component of building automation system. All solutions were classified at three “smartness levels”, from zero to second, where zero level means simple manually adjusted temperature regulator, first level assumes working according the programmable schedule. The second level smart thermostat automatically generates and dynamically changes its schedule basing on the users’ activity and presence, as well as on user-defined priorities. The article sets goals for further research in the field of self-learning algorithms for smart thermostat, because it seems actual to develop a self-learning smart thermostat capable of supporting a large buildings; it should analyze user behavior and effect control both at the level of a whole building and at the level of single rooms. Keywords: smart thermostat, smart home, building automation, energy saving, control systems, controller, regulator, algorithm

scholarly journals Application of neuro evolution tools in automation of technical control systems

2021 ◽  
pp. 016-025
Author(s):  
A.Y. Doroshenko ◽  
◽  
I.Z. Achour ◽  
Keyword(s):  
Machine Learning ◽  
Control Systems ◽  
Control Problems ◽  
Standard Problem ◽  
Learning Techniques ◽  
Technical Control ◽  
Control Automation ◽  
Reinforcement Learn ◽  
Reinforced Learning ◽  
Technical Systems

Reinforced learning is a field of machine learning based on how software agents should perform actions in the environment to maximize the concept of cumulative reward. This paper proposes a new application of machine reinforcement learning techniques in the form of neuro-evolution of augmenting topologies to solve control automation problems using modeling control problems of technical systems. Key application components include OpenAI Gym toolkit for develop-ing and comparing reinforcement learn-ing algorithms, full-fledged open-source implementation of the NEAT genetic al-gorithm called SharpNEAT, and inter-mediate software for orchestration of these components. The algorithm of neu-roevolution of augmenting topologies demonstrates the finding of efficient neural networks on the example of a simple standard problem with continu-ous control from OpenAI Gym.

scholarly journals Analyzing the Impact of Cybersecurity on Monitoring and Control Systems in the Energy Sector

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 218
Author(s):  
Mohammed Alghassab
Keyword(s):  
Control System ◽  
Control Systems ◽  
Cyber Security ◽  
Energy Sector ◽  
Industrial Control System ◽  
Monitoring And Control ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Monitoring And Control Systems ◽  
And Control

Monitoring and control systems in the energy sector are specialized information structures that are not governed by the same information technology standards as the rest of the world’s information systems. Such industrial control systems are also used to handle important infrastructures, including smart grids, oil and gas facilities, nuclear power plants, water management systems, and so on. Industry equipment is handled by systems connected to the internet, either via wireless or cable connectivity, in the present digital age. Further, the system must work without fail, with the system’s availability rate being of paramount importance. Furthermore, to certify that the system is not subject to a cyber-attack, the entire system must be safeguarded against cyber security vulnerabilities, threats, and hazards. In addition, the article looks at and evaluates cyber security evaluations for industrial control systems, as well as their possible impact on the accessibility of industrial control system operations in the energy sector. This research work discovers that the hesitant fuzzy-based method of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an operational procedure for estimating industrial control system cyber security assessments by understanding the numerous characteristics and their impacts on cyber security industrial control systems. The author evaluated the outputs of six distinct projects to determine the quality of the outcomes and their sensitivity. According to the results of the robustness analysis, alternative 1 shows the utmost effective cybersecurity project for the industrial control system. This research work will be a conclusive reference for highly secure and managed monitoring and control systems.

Test-Bed Infrastructure for Industrial Control Systems Validation

2006 ◽  
Author(s):  
Emanuelle Carpanzano ◽  
Andrea Cataldo
Keyword(s):  
Control System ◽  
Control Systems ◽  
Agile Manufacturing ◽  
Industrial Plant ◽  
Small Scale ◽  
Automation System ◽  
Test Bed ◽  
Control Software ◽  
Logic Control ◽  
Process Simulator

To properly deal with the increasing complexity of industrial distributed and agile manufacturing control systems, the use of methods and tools that support the designer in the definition, implementation and verification of intelligent logic control software is more and more necessary. Nowadays, many different software tools are available to face the rapid prototyping and closed loop simulation based verification of an automation system control software. The possibility to validate the control strategies of an automation system for industrial plant during its design phases is very advantageous. In fact the control system validation on plant site is very expensive, both for the high man power costs and for the long time required to implement and test the software code implemented in the control system devices. Scope of this paper is to present the hardware/software infrastructure designed to interface an industrial PLC to a laboratory process simulator and to a real small scale plant, in order to validate the industrial PLC software control code before the real plant commissioning phase. In particular the PLC, communicating with its remote input/output terminal boards via Profibus, is firstly connected to the process simulator for a roughly control algorithm validation, secondly it is interfaced to a small scale plant so to deeply test the PLC logic control solution.

scholarly journals Energy Use in Residential Buildings: Impact of Building Automation Control Systems on Energy Performance and Flexibility

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2896 ◽  
Author(s):  
Francesco Mancini ◽  
Gianluigi Lo Basso ◽  
Livio de Santoli
Keyword(s):  
Control Systems ◽  
Energy Use ◽  
Financial Analysis ◽  
Residential Buildings ◽  
Energy Performance ◽  
Automation System ◽  
Research Activity ◽  
Demand Response Program ◽  
Automation Control ◽  
Simple Activity

This work shows the results of a research activity aimed at characterizing the energy habits of Italian residential users. In detail, by the energy simulation of a buildings sample, the opportunity to implement a demand/response program (DR) has been investigated. Italian residential utilities are poorly electrified and flexible loads are low. The presence of an automation system is an essential requirement for participating in a DR program and, in addition, it can allow important reductions in energy consumption. In this work the characteristics of three control systems have been defined, based on the services incidence on energy consumptions along with a sensitivity analysis on some energy drivers. Using the procedure established by the European Standard EN 15232, the achievable energy and economic savings have been evaluated. Finally, a financial analysis of the investments has been carried out, considering also the incentives provided by the Italian regulations. The payback time is generally not very long: depending on the control system features it varies from 7 to 10 years; moreover, the automation system installation within dwellings is a relatively simple activity, which is characterized by a limited execution times and by an initial expenditure ranging in 1000 € to 4000 €, related to the three sample systems.

Fuzzy Neural-Network-Based Controller

2015 ◽  
Vol 220-221 ◽  
pp. 407-412
Author(s):  
İsmet Gücüyener
Keyword(s):  
Neural Network ◽  
Control Systems ◽  
Fuzzy Neural Network ◽  
Electronic Communication ◽  
Low Cost ◽  
Automation System ◽  
Neural Network Controller ◽  
Fuzzy Neural ◽  
Classical Control ◽  
Remote Points

Using a controller is necessary for any automation system. The controller must be cheap, reliable, user friendly and not cause any problems for inputs and outputs. Classical control systems like proportional integral derivative (PID) put adequate results of linear systems and continuous-time. In fact, real control systems are time-variant, with non-linearity and poorly calculated dynamic variables. For this reason, conventional control systems need an expert person to adjust controller parameters in general. Sometimes an operator is required to solve control problems. Human control is not completely reliable. Also, it does not include any electronic communication. In modern factories, every point must be monitored and electronically controlled from remote points when necessary. In this study, including every electronic communication channel, a simplified handling, low-cost, reliable, Fuzzy Neural Network Controller (FNNC) is designed.

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