|
|
|
|
home · studies

| System Theory – Control Systems |
| Module Type: |
Special Foundation |
| Module Code: |
426 |
| Syllabus: |
Introduction to systems, close/open loop, forward loop, feed-forward, feed-back.
Controller architectures (cascade, split range, ratio, blender, batch etc.). Control via PC.
Microprocessors and control, SCADA, DCS. Laplace transform, time delay, convolution, stability criteria
(Bode, Nichols, Nyquist, reverse Nyquist). PID controllers, temperature, flow control. Adaptive control, actuators, relays, solenoids.
Operational and power amplifiers. Variable digital control systems, Ζ transform, sampling, PLCs, sequential control.
Non-linear control systems, optimum control, applications. |
| Module Aims-Objectives: |
To introduce students with the basic principles and elements of control systems as well as the functionality and transfer functions
of the main building blocks, towards their implication in the design and implementation process of such systems.
Upon completing this module students should be able to apply the principles of automation and control systems towards the solution of
practical problems arising in industry. |
| Bibliography: |
• Ventzas D., Informatics of System Theory, Lectures for Theory and Laboratory &, AΤΕΙ of Larisa, 2004
• King R. E., Industrial Control, Papasotiriou publishing, 1994
• Control Systems. Basic Concepts and Applications, Basic
Concepts and Applications, Athens 1996
• Klir R.E & Yuan B, Fuzzy Sets and Fuzzy Logic – Theory and Application,
Prentice Hall, 1995
• Acumen Control – Abstruse and Neurocyte Control of Processes, R.
King, University of Patras Publishing 1996
• Introduction to Control Systems, P. �. Paraskevopoulos, Athens 1991
• Theodoridh S –Mpermperidis K, Introduction to Theory
|
|
|
|
|
|
|
