Courses

Process Control

General

Course Contents

1. Introduction to process control
2. Mathematical modelling for process control
3. State space models and linearization
4. Feedback control loop (sensors, controllers, final control elements)
5. PID control algorithm
6. PID parameter tuning: Ziegler – Nichols, Cohen-Coon, model based methods
7. Model based control
8. Feedforward control
9. Cascade control
10. Control of MIMO processes
11. Special control structures for multi variable processes.

Educational Goals

The course develops a basic understanding of the fundamental concepts of process control theory from a mathematical and physical point of view.
Extensive reference is made to the concepts of mathematical modelling, dynamic behaviour and control of physical and chemical basic units.
Upon successful completion of the course the student will be able to:
understand and develop mathematical models and control algorithms for basic chemical and physical processes understand the role of variables in simple systems of physical and chemical processes.
understand the basic elements of the basic control loops in processes.
understand the concepts of mathematical modelling
understand state space models (nonlinear, linear), linearization and transfer functions.
understand the concept of controller design based on the mathematical model of each process.
understand different control schemes: feedback, feed forward, cascade, ratio control
understand specific structures for the control of multivariable systems in processes.
and will have the ability of:
mathematical modelling and classification of system variables for controlling simple process systems linearization of non-linear mathematical models of simple processes simulation of simple process systems determining the parameters of conventional controllers composition of controllers supported by a mathematical model
Designing feedforward controllers, cascade controllers, and specific controller structures for simple processes
Methodical writing, analysis and presentation of results.

General Skills

Research, analysis and synthesis of data and information using corresponding technologies, decision making, adaptation to new situations, promoting free, creative and inductive thinking, independent work, teamwork.

Teaching Methods

Lectures, Exercises, Online guidance, E-mail communication, Online Synchronous and Asynchronous Teaching Platform (Moodle).

Students Evaluation

Language: Greek
The final grade of the course is formed 100% by the grade of the theoretical part.
The grade of the theoretical part is based on a written final examination.
The written final examination of the theoretical part may include:
Solving problems of application of the acquired knowledge, Short answer questions etc

Recommended Bibliography

Marlin T.E., “Process Control”, McGraw-Hill, second edition, 2000.
Chau P.C., “Process Control – A First Course with MATLAB”, Cambridge University Press, 2002
Corriou J.P., Process Control–Theory and Applications, Springer, 2010,
Luyben M. & Luyben W., Essentials of Process Control, Mc Graw-Hill, 1997