Courses

Control Systems I

General

Course Contents

Laplace transform, inverse Laplace transform, method of residuals.
Basic concepts of open and closed loop automatic control systems, advantages of the use of feedback, real-world examples.
Mathematical representation of systems in the time domain, mathematical models, models of physical systems.
Block diagrams, transfer functions, time response characteristics.
Characteristics of closed loop systems, steady state errors.
Mathematical representation of systems in the frequency domain (frequency response, Bode diagrams, Nyquist diagrams, Nichols chart).
Introduction to the concept of stability, Routh-Hurwitz and Nyquist stability criteria, root locus.
Exercises and applications in MATLAB.

Educational Goals

The course develops a basic understanding of the fundamental concepts of control systems theory from a mathematical and physical point of view.
Extensive reference is made to the concepts of mathematical modelling and dynamic behaviour of systems, in both time and frequency domains. The course introduces and completes the basic theory of analysis of continuous time control systems based on the mathematical model of the transfer function. The consolidation of the course material creates the basic background and is a prerequisite for the understanding of related courses that follow in the curriculum, such as Control Systems II, Control Systems III, Process Control and Digital Control Systems.
Upon successful completion of the course the student will be able to:
– understand the use of feedback in controlling closed loop systems and the advantages it offers;
– examine stability using a variety of methods and predict the response time characteristics of systems of any order;
– apply the process of mathematical representation and analysis of closed loop systems both in the time and frequency domains;
– attend more specialized courses of the theory and practice of automatic control systems.
– recognizes and uses MATLAB software and its tools with ease

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, Projected Presentations, E-mail communication, Online Synchronous and Asynchronous Teaching Platform (Moodle).

Students Evaluation

Assessment Language: English / 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

Control Systems Engineering , Norman Nise
Modern Control Systems, Dorf & Bishop
Feedback Control of Dynamic Systems , Franklin & Powell
Modern Control Engineering, Ogata
Analog and Digital Control System Design: Transfer-Function, State-Space, and Algebraic Methods , C.T. Chen
Automatic Control Systems, Kuo
Design of Feedback Control Systems, Stefani, Bahram Shahian, Clement J. Savant