Towards Reconfiguration Applications as basis for Control System Evolution in Zero-downtime Automation Systems

2006 ◽  
pp. 523-528 ◽  
Author(s):  
C. Sünder ◽  
A. Zoitl ◽  
B. Favre-Bulle ◽  
T. Strasser ◽  
H. Steininger ◽  
...  
Keyword(s):  
Control System ◽  
System Evolution ◽  
Automation Systems

scholarly journals Process control system evolution for the LHC Cold Compressors at CERN

2020 ◽  
Vol 755 ◽  
pp. 012086
Author(s):  
B Bradu ◽  
L Delprat ◽  
E Duret ◽  
G Ferlin ◽  
B Ivens ◽  
...  
Keyword(s):  
Control System ◽  
Process Control ◽  
Process Control System ◽  
System Evolution

Third Party HIL Testing of Safety Critical Control System Software on Ships and Rigs

2012 ◽  
Author(s):  
Øyvind Smogeli ◽  
Trond Augustson
Keyword(s):  
Control System ◽  
Control Systems ◽  
Technology Development ◽  
Emergency Situation ◽  
Third Party ◽  
System Software ◽  
Safety Critical ◽  
Test Methodology ◽  
Automation Systems ◽  
And Performance

The drilling industry is characterized by a rapid and up front technology development to conquer larger water and drilling depths. The level of automation has been steadily increasing over several decades, growing from manually operated sledge-hammer technology to space-age computer-based integrated systems. Most of the automation systems on today’s vessels are put into operation without independent testing. This is a paradox considering that a single control system may be more complex than all the mechanical systems onboard. It is also a paradox that the automation systems often contain safety-critical failure handling functionality that may be difficult or dangerous to test onboard the real vessel, and therefore is not properly tested until it is activated during an emergency situation. These automation systems are essential for the safety, reliability, and performance of the vessels. Examples are the Dynamic Positioning (DP) systems, Power Management systems, Drilling Control Systems, BOP control systems, Managed Pressure Drilling (MPD) systems, and crane control systems. Hardware-In-the-Loop (HIL) testing is a well proven test methodology from automotive, avionics, and space industries, and is now also gaining recognition in the marine and offshore industries. The aim of this paper is to clarify what HIL testing is, how third party HIL testing can be applied to safety critical control system software on drilling ships and rigs, and why this is an important contribution to technical safety, reliability and profitability of offshore operations.

Control system evolution in glass production

1989 ◽  
Vol 46 (6) ◽  
pp. 250-252
Author(s):  
V. E. Manevich
Keyword(s):  
Control System ◽  
Glass Production ◽  
System Evolution

scholarly journals Prototype of Warehouse Automation System Using Arduino Mega 2560 Microcontroller Based on Internet of Things

bit-Tech ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 124-130 ◽  
Author(s):  
Yusuf Kurnia ◽  
Jeksen Li Sie
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Integrated Circuit ◽  
Circuit Board ◽  
Automation System ◽  
Internet Connection ◽  
Automation Systems ◽  
Operational Activities ◽  
Main Components ◽  
Selection Of

This research aims to collaborate between automation systems involving 3 main components namely Actuators, transducers / sensors, and microcontrollers are also implementations of IoT that are implemented in accessing, controlling, supervising, and monitoring all activities that are generally related to warehousing as well as increasing the efficiency and security of those who do not have the authority to access the room. In This research the hardware used as a control system is an integrated circuit board ARDUINO MEGA 2560 based on ATMega2560 Chipset that has 13 I / O pins for analog pins and 40 digital pins, the selection of that number of I / O pins as anticipated if this design will be developed further by using instruments that require hardware to support operational activities in specific warehouses of general, ESP8266 as a module device used for IoT communication using the Blynk application on Smartphone devices, and the RFID Mifare RC522 module used to access the room if there is an internet connection failure

Leveraging Control System Evolution for Plant and Personnel Efficiency

2019 ◽  
Author(s):  
Gregory Davis ◽  
Thomas Jankowski ◽  
Gregory Kemper ◽  
Joe Holmes
Keyword(s):  
Control System ◽  
System Evolution

scholarly journals Design of Safe and Low Cost Automation Systems: Application to a Three-Tank Control System

2001 ◽  
Vol 34 (29) ◽  
pp. 34-39
Author(s):  
Blaise Conrard ◽  
Mireille Bayart
Keyword(s):  
Control System ◽  
Low Cost ◽  
Automation Systems

IEC 61499 in Distributed Control of Weather Short-Term Load Forecasting Using Fuzzy Logic Algorithm

2012 ◽  
Vol 433-440 ◽  
pp. 3929-3933
Author(s):  
Maryam Sadeghi ◽  
Majid Gholami
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Distributed Control ◽  
Open Architecture ◽  
Power Demand ◽  
Short Term ◽  
Free System ◽  
Model Free ◽  
Automation Systems ◽  
Iec 61499

Distributed Control System (DCS) equipping the new design methodology comprises an open architecture for intelligent and agile control of distributed control systems by developing a novel international standard “IEC 61499” evolving the event driven functional modules distributed to field devices and interconnected among multiple controllers. It is investigated for predicting the short term power demand using weather and ambient conditions such as temperature, humidity, season, wind and precipitation. Forecasting algorithm simulated via Function Block Development Kit (FBDK) using Fuzzy Logic Controller (FLC). FLC is an advanced method for prediction and control of nonlinear system which is based on fuzzy logic concept comprising an algorithms formulated by linguistically expert rules. Precise mathematical model free system, robustness and flexibility in the event of parameter variations are the most advantages of FLC. In this approach three distributed weather stations are defined for estimating the power demand in a small area using IEC 61499 DCS standard and FLC as a prediction logic. IEC 61499 intensifies flexibility by capability in adaption and system reconfiguration in regard of environment changes, results on cost reduction and diminutions the industrial automation complexity. It increasingly enlarges the adaptability of proposed control system, enhances the system portability, interoperability and develops configurability. IEC 61499 facilitates world trade by swooping technical barriers to trade, eventuates the neoteric markets and economic growth and leads to a strong trend towards distributed automation systems.

scholarly journals Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0

2021 ◽  
Vol 11 (5) ◽  
pp. 2319
Author(s):  
Unai Gangoiti ◽  
Alejandro López ◽  
Aintzane Armentia ◽  
Elisabet Estévez ◽  
Marga Marcos
Keyword(s):  
Control System ◽  
Production System ◽  
Industry 4.0 ◽  
Production Control ◽  
Production Systems ◽  
Normal Operation ◽  
Functional Requirements ◽  
Multi Agent Systems ◽  
Design And Development ◽  
Automation Systems

The continuous changes of the market and customer demands have forced modern automation systems to provide stricter Quality of service (QoS) requirements. This work is centered in automation production system flexibility, understood as the ability to shift from one controller configuration to a different one, in the most quick and cost-effective way, without disrupting its normal operation. In the manufacturing field, this allows to deal with non-functional requirements such as assuring control system availability or workload balancing, even in the case of failure of a machine, components, network or controllers. Concretely, this work focuses on flexible applications at production level, using Programmable Logic Controllers (PLCs) as primary controllers. The reconfiguration of the control system is not always possible as it depends on the process state. Thus, an analysis of the system state is necessary to make a decision. In this sense, architectures based on industrial Multi Agent Systems (MAS) have been used to provide this support at runtime. Additionally, the introduction of these mechanisms makes the design and the implementation of the control system more complex. This work aims at supporting the design and development of such flexible automation production systems, through the proposed model-based framework. The framework consists of a set of tools that, based on models, automate the generation of control code extensions that add flexibility to the automation production system, according to industry 4.0 paradigm.

scholarly journals Interactive Water Level Control System Simulator Based on OMRON CX-Programmer and CX-Designer

2021 ◽  
Vol 11 (9) ◽  
pp. 91-99
Author(s):  
Rijalul Fahmi Mustapa ◽  
◽  
Rozi Rifin ◽  
Mohd Ezwan Mahadan ◽  
Aznilinda Zainuddin
Keyword(s):  
Control System ◽  
Embedded System ◽  
Water Level ◽  
Teaching And Learning ◽  
Programmable Logic Controller ◽  
Automation System ◽  
Programmable Logic ◽  
Level Control ◽  
Level Control System ◽  
Automation Systems

Abstract— Programmable Logic Controller (PLC) is an essential component in industrial automation where it acts as the backbone of the system. In line with Industrial Revolution (IR) 4.0, most industrial and manufacturing sectors move towards automation systems. Preparing university students about automation and PLC fundamental knowledge and skill is crucial before graduation, where the preoccupied knowledge will enhance graduate employability. Fulfilling this task, universities have to prepare the necessary equipment in the laboratory for teaching and learning purposes. The problem arises when certain universities with budget constraints cannot purchase the equipment for the PLC embedded system as huge costs have to be borne by universities. Thus, an alternative approach has to be taken where the main objective of this paper is to develop an interactive water level control system simulator as a substitution of the expensive automation PLC embedded system for teaching and learning purposes. OMRON software, namely CX-Programmer and CX-Designer used to design and develop an interactive water level control system simulator. In addition, the interactive water level control will be embedded with a PLC component that replicates the actual automation system laboratory equipment. Moreover, universities with a limited budget can utilize the tool for teaching and learning purposes of the PLC and automation system, which is the main contribution of this paper. Keywords—Water Level Control System, Programmable Logic Controller, Simulator, CX-Programmer, CX-Designer.

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