Advanced Interactive Personal Computer-Based Process Control Systems for Oxide MOCVD Systems.

1995 ◽  
Vol 415 ◽  
Author(s):  
G.S. Tompa ◽  
D. Shen ◽  
C. Zhang ◽  
I.H. Murzin
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Real Time ◽  
Personal Computer ◽  
User Interfaces ◽  
Data Exchange ◽  
Commercial Software ◽  
General Process ◽  
Process Control Systems

ABSTRACTA versatile control system, which uses standard commercial software and hardware has been developed and applied to control oxide (and carbide) MOCVD and CVD systems. The control system is implemented within a personal computer platform. The system operates in the real time Microsoft WindowsTM environment utilizing the full advantage of the sophisticated graphical user interfaces, dynamic data exchange, networking, and multitasking capabilities. We have used two different sets of commercial software to control and monitor system hardware. The first software set is INTOUCHTM, a Man-Machine interface software from WONDERWARETM in conjunction with Microsoft ExcelTM and I/O interface software. The second software set is LABVIEWTM, which is primarily a data acquisition control system from National Instruments, combined with Visual BasicTM. Both systems include a friendly interactive real-time windows-based user interface, an advanced process entry and recording spread sheet interface, alarm and security management systems, data display and recording, maintenance routines, and complete networking and remote operation capabilities. In addition, the configurations provide a flexible hardware interface that can directly interface to I/O cards in the PC's bus, as well as to most industrial Programmable Logic Controllers, various types of process controllers, I/O devices and other forms of hardware. Most importantly, the system can interface with any in-situ process monitor or higher level intelligent process control systems in order to optimize the process. Modules may be activated or deactivated as needed (even as part of the process). These systems have been used for home-built systems, as well as to retrofit a modified Spire SPI-MOCVDTM 500XT system. General process interaction and results will be discussed.

Reducing the Impact of Source Information Uncertainty in Intelligent Automated Thermal Process Control Systems in Ensuring Reliable Operation of Power Equipment

Vestnik MEI ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 78-87
Author(s):  
Edik K. Arakelyan ◽  
◽  
Ivan A. Shcherbatov ◽  
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Process Control System ◽  
Power Equipment ◽  
Source Information ◽  
Equipment Operation ◽  
Process Control Systems ◽  
Automated Process ◽  
The Impact

The uncertainty of the source information is used to solve key tasks in an intelligent automated thermal process control system affects the calculation of control actions, the implementation of equipment optimal operating modes and, as a result, leads to degraded reliability. As a rule, this type of information can be qualitative (the use of expert knowledge) or quantitative in nature. In this regard, it is extremely important to reduce the impact of uncertainty. The aim of the study is to identify the types and origins of uncertainty in the source information used by an intelligent automated process control system and to develop approaches to reduce its impact on the reliability of power equipment operation. The approaches used to ensure the specified indicators of reliability, efficiency and environmental friendliness in modern intelligent automated process control systems are based on predictive strategies, according to which the technical condition of equipment and specific degradation processes are predicted. This means that various types of uncertainty can have a significant negative impact. To reduce the influence of uncertainty of the initial information that affects the reliability of power equipment operation, the use of artificial neural networks is proposed. Their application opens the possibility to predict the occurrence of equipment defects and failures based on retrospective data for specified forecast time intervals. A method for reducing the impact of anomalies contained in the source information used in an intelligent process control system for energy facilities is demonstrated. Data omissions and outliers are investigated, the elimination of which reduces the impact of uncertainty and improves the quality of solving key problems in intelligent automated process control systems. Experimental studies were carried out that made it possible to identify the mathematical methods for removing omissions and anomalies in the source information in the best way. Methodological aspects of eliminating various types of uncertainty that exist in managing of power facilities by means of intelligent automated process control systems at the key stages of the power equipment life cycle are described.

INTERVAL LOGIC FOR PROCESS CONTROL SYSTEM SPECIFICATION

1991 ◽  
Vol 01 (03) ◽  
pp. 303-326
Author(s):  
PETER P.K. CHIU ◽  
Y.S. CHEUNG
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Process Control System ◽  
Time Interval ◽  
System Specification ◽  
Time Intervals ◽  
Process Control Systems ◽  
Sequential Processes ◽  
Interval Logic

A new methodology for the specification of process control systems involving time interval information and verification of their design is proposed. The specification is based on interval logic and a time-interval operator is defined. By means of this operator, time interval information is incorporated in the specification. Thus properties that involve time intervals can be verified. Moreover, combinational and sequential processes can be specified. An application example for a process control system is demonstrated.

scholarly journals Examination of a repetitive process control system

2019 ◽  
Vol 287 ◽  
pp. 08002
Author(s):  
Nina G. Nikolova
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Process Control System ◽  
Robust Performance ◽  
Repetitive Process ◽  
Process Control Systems ◽  
Improved Performance ◽  
Robust Process

In the present work, the application of repetitive filters in the robust process control systems is examined. The functionality of the proposed system and the improved performance, robust performance and filtering properties has been proven.

scholarly journals Decision support system in the task of ensuring information security of automated process control systems

2019 ◽  
pp. 477-486
Author(s):  
A D Kirillova ◽  
V I Vasilyev ◽  
A V Nikonov ◽  
V V Berkholts
Keyword(s):  
Control System ◽  
Decision Support ◽  
Information Security ◽  
Process Control ◽  
Decision Support System ◽  
Control Systems ◽  
Support System ◽  
Decision Rules ◽  
Process Control Systems ◽  
Automated Process

The problem of ensuring the information security of an automated process control system (APCS) is considered. An overview of the main regulatory documents on ensuring the safety of automated process control systems is given. For the operative solution of the tasks of ensuring information security of the automated control system of technological processes it is proposed to use an intelligent decision support system (DSS). An example of the construction and implementation of decision rules in the composition of the DSS based on the use of neurofuzzy models is considered.

scholarly journals The Model of Data Exchange and Data Storage in Multi-Level Technological Process Control Systems

2017 ◽  
Vol 27 (1) ◽  
pp. 197-202 ◽  
Author(s):  
I.G. Tsmots ◽  
T.V. Teslyuk ◽  
M.V. Mashevska ◽  
V.M. Teslyuk
Keyword(s):  
Process Control ◽  
Control Systems ◽  
Technological Process ◽  
Data Storage ◽  
Data Exchange ◽  
Process Control Systems ◽  
Multi Level
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