Application of feedback control principles for solving differential- algebraic systems of equations in process control education

1996 ◽  
Vol 20 ◽  
pp. S1329-S1334 ◽  
Author(s):  
M. Siiacham ◽  
N. Brauner ◽  
M. Pozin
Keyword(s):  
Feedback Control ◽  
Process Control ◽  
Systems Of Equations ◽  
Algebraic Systems ◽  
Control Education

Development of a Laboratory Equipment for Dynamic Systems and Process Control Education

2014 ◽  
Author(s):  
Rafael E. Vásquez ◽  
Norha L. Posada ◽  
Fabio Castrillón ◽  
David Giraldo
Keyword(s):  
Process Control ◽  
Dynamic Systems ◽  
Sliding Mode ◽  
Control Strategies ◽  
Academic Research ◽  
Nonlinear Behavior ◽  
Industrial Training ◽  
Laboratory Equipment ◽  
Dynamic Matrix ◽  
Control Education

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.

scholarly journals INTEGRATING REGIONAL INDUSTRIAL THEME EXAMPLES IN PROCESS CONTROL EDUCATION

2012 ◽  
Author(s):  
Jean Sebastien Deschenes
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Multidisciplinary Approach ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Innovative Strategies ◽  
Paper Making ◽  
Hands On ◽  
Control Education ◽  
Industrial Context

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

scholarly journals LISMA_HDS language for modeling heterogeneous dynamic systems

2021 ◽  
pp. 103-122
Author(s):  
Evgeny Popov ◽  
◽  
Yury Shornikov ◽  
Keyword(s):  
Dynamic Systems ◽  
Initial Value Problems ◽  
Method Of Lines ◽  
System Of Equations ◽  
Modeling Languages ◽  
Cauchy Problems ◽  
Systems Of Equations ◽  
Initial Value ◽  
Algebraic Systems ◽  
Different Types

Heterogeneous dynamic systems (HDS) simultaneously describe processes of different physical nature. Systems of this kind are typical for numerous applications. HDSs are characterized by the following features. They are often multimode or hybrid systems. In general, their modes are defined as initial value problems (Cauchy problems) for implicit differential-algebraic systems of equations. Due to the presence of heterogeneous dynamic components or processes evolving in both time and space, the dimension of the complete system of equations may be pretty high. In some cases, the system of equations has an internal structure, for instance, the differential-algebraic system of equations approximating a partial differential equation by the method of lines. An original huge system of equations can then be algorithmically rewritten in a compact form. Moreover, heterogeneous hybrid dynamical systems can generate events of qualitatively different types. Therefore one has to use different numerical event detection algorithms. Nowadays, HDSs are modeled and simulated in computer environments. The modeling languages widely used by engineers do not allow them to fully specify all the properties of the systems of this class. For instance, they do not include event typing constructs. That is why a declarative general-purpose modeling language named LISMA_HDS has been developed for the computer-aided modeling and ISMA simulation environment. The language takes into account all of the characteristic features of HDSs. It includes constructs for plain or algorithmic declaration of model constants, initial value problems for explicit differential-algebraic systems of equations, and initial guesses for variables. It also allows researchers to define explicit time events, modes and transitions between them upon the occurrence of events of different types, to use macros and implement event control. LISMA_HDS is defined by a generative grammar in an extended Backus-Naur form and semantic constraints. It is proved that the grammar belongs to the LL(2) subclass of context-free grammars.

Evaluation of a Low-Cost Microcontroller for Real-Time Control Education and Prototyping

2014 ◽  
Author(s):  
Ryan W. Krauss
Keyword(s):  
Feedback Control ◽  
Real Time ◽  
Closed Loop ◽  
Low Cost ◽  
Serial Communication ◽  
Real Time Control ◽  
Time Control ◽  
Active User ◽  
Bode Plots ◽  
Control Education

Arduino microcontrollers are popular, low-cost, easy-to-program, and have an active user community. This paper seeks to quantitatively assess whether or not Arduinos are a good fit for real-time feedback control experiments and controls education. Bode plots and serial echo tests are used to assess the use of Arduinos in two scenarios: a prototyping mode that involves bidirectional real-time serial communication with a PC and a hybrid mode that streams data in real-time over serial. The closed-loop performance with the Arduino is comparable to that of another more complicated and more expensive microcontroller for the plant considered. Some practical tips on using an Arduino for real-time feedback control are also given.

An Approach for Improving Student Performance in a Feedback Systems Course for Process Control Education

2014 ◽  
Vol 47 (3) ◽  
pp. 10574-10579 ◽  
Author(s):  
Daniel C. Jeronymo ◽  
Rejane de Barros Araújo ◽  
Antonio A.R. Coelho ◽  
Julio E. Normey-Rico
Keyword(s):  
Process Control ◽  
Student Performance ◽  
Feedback Systems ◽  
Control Education ◽  
Improving Student Performance

scholarly journals New Directions in Process Control Education

2003 ◽  
Vol 36 (10) ◽  
pp. 243-248
Author(s):  
Sirkka-Liisa Jämsä-Jounela
Keyword(s):  
Process Control ◽  
New Directions ◽  
Control Education
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