EXPERIMENTAL SYSTEMS FOR DISTRIBUTED PROCESS CONTROL EDUCATION

Author(s):  
B. ROHAL-ILKIV ◽  
P. ZELINKA ◽  
R. RICHTER
1994 ◽  
Vol 27 (9) ◽  
pp. 149-152
Author(s):  
B. Rohal-Ilkiv ◽  
P. Zelinka ◽  
R. Richter

2013 ◽  
Vol 341-342 ◽  
pp. 679-683
Author(s):  
Jian Zhao Cao ◽  
Dian Hua Zhang

In order to solve the time synchronization problem in tandem hot strip line, the traditional algorithm of time synchronization was analyzed, and the server-client mode was compared with the broadcast mode using multithread technology, then the present paper improved the broadcast mode to improve its precision. The new method can estimate total delay including clock offset and network transmission time. A simple, easy and little loading time synchronization method was designed for the distributed process control system of tandem hot strip line. The new method was applied in domestic some tandem hot strip line successfully which showed that it could meet the demands of process control system with little expenses, simple structure and high precision.


Author(s):  
Rafael E. Vásquez ◽  
Norha L. Posada ◽  
Fabio Castrillón ◽  
David Giraldo

This paper addresses the development of an equipment to teach control engineering fundamentals. The design requirements were determined by users that perform academic, research and industrial training tasks in the area of dynamic systems and process control. Such requirements include: industrial instrumentation; measurement of controlled and manipulated variables, and disturbances; process reconfigurability; different control technologies; several control strategies; appropriate materials for visualization; and compact shape to optimize lab space. The selected process is a tank system that allows one to choose among several dynamic behaviors: first, second, and third order, linear and nonlinear behavior, and dead time; the mathematical model that represents the dynamics of the system is presented. A traditional 3-stage design methodology that includes conceptual, basic and detailed design was followed. The developed equipment allows the user to select from three different technological alternatives to control the system: a PLC, an industrial controller, and a computer. With such flexibility, several control strategies can be implemented: feedback, feedforward, PID, LQG, nonlinear control (gain scheduling, sliding mode, etc.), fuzzy logic, neural networks, dynamic matrix control, etc. The developed system is being used to teach undergrad courses, grad courses, and industrial training. Additionally, the equipment is useful in research projects where grad students and researches can implement and test several advanced control techniques.


Author(s):  
Jean Sebastien Deschenes

A process control course was elaborated around the specific regional (industrial) context in which UQAR has an important mission of regional development. A multidisciplinary approach is used, integrating notions from various fields of engineering (electrical, mechanical, chemical and civil engineering) through theme examples such as wastewater treatment, pulp and paper making, mining and metallurgical extraction (mineral grinding). Laboratory activities on such processes are realized using a simulation software specifically designed for process control education. The small size of the groups at UQAR also allows to employ innovative strategies on how to run the activities and to evaluate the students. One laboratory on a real physical system (electrical motor) was also part of the course, to balance between the advantages of the software and the more “hands-on” laboratories. General feedback and comparative appreciation from students is then presented, followed by overall conclusions


2020 ◽  
Vol 27 (1) ◽  
pp. 111-118
Author(s):  
Irina S. Gefner ◽  
Sergey M. Kovalenko ◽  
Alexandr S. Sukhoverkhov ◽  
Sergey V. Solovyov

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