COURSE INFORMATION
Course Title: AUTOMATIC CONTROL SYSTEMS
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
ECE 464 B 1 3 2 0 4 7.5
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) NA
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: Prof.Dr. Gëzim Karapici gkarapici@epoka.edu.al , On apointment
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: NA
Teaching Assistant(s) and Office Hours: NA
Language: English
Compulsory/Elective: Compulsory
Study program: (the study for which this course is offered) Master of Science in Electronics and Communication Engineering
Classroom and Meeting Time: NA
Code of Ethics: Code of Ethics of EPOKA University
Regulation of EPOKA University "On Student Discipline"
Attendance Requirement: Please refer to Epoka Regulations
Course Description: This course intends to present treatment of the classical digital control with an introduction to modern digital control system in the state space. The course introduces the fundamental concepts, principles and application of digital control system analysis and design to the MSc students. This course goes deeper into the various aspects of digital control engineering. Each topic is developed in logical progression with up-to-date information. The topics cover classical control design methods as well as the modern control design techniques. A number of chosen problems are solved to illustrate the concepts clearly. A suite of exercises is also provided. Open-source software like Octave and Scilab are used throughout the course.
Course Objectives: 1. To learn z-transform using Octave/Scilab. 2. To learn the application of Octave/Scilab, to convert TF from s-domain to z-domain. 3. To analyze transient response and frequency response of Digital Control Systems. 4. To analyze DCS stability in z- plane using Octave/Scilab software. 5. To use Octave/Scilab Xcos for simulation of dynamics of DCS
BASIC CONCEPTS OF THE COURSE
1 Treatment of the classical digital control with an introduction to modern digital control system in the state space
2 Z-transform as applied to discrete-time systems with transformation from the s-plane to the z-plane
3 Analysis of digital control systems using Nyquist and Bode plots and root locus
4 Stability analysis of digital systems using Jury test, Routh criterion, Nyquist and Bode plots
5 Introduction to Design using root-locus and Bode plots
6 Introduction to state-space and pole assignment
7 Octave/Scilab applications
COURSE OUTLINE
Week Topics
1 1. Review of Classical Automatic Control – Introduction to Control Systems – Basic concepts: blocks, signals – Open loop & closed loop systems
2 2. Review of Classical Automatic Control – Mathematical Models of SISO Linear Systems – Basic concepts of Laplace Transform – Solution of Linear Differential Equations – Block diagrams and Signal Flow Graphs of Control Systems
3 3. Computational Control Engineering Tools: Octave/Scilab – Octave Basic Ideas – Scilab Basic Ideas
4 DCS Analysis I. Introduction to Digital Control Systems (DCS) – DCS Structure – DCS Examples
5 DCS Analysis II. Digitalization of Continuous Systems – Discretization process, sampling – Mathematical modeling of the sampling process – Signal Reconstruction
6 DCS Analysis III. Mathematical Models of SISO Digital Linear Systems – Introduction to z-Transform – Mapping s plane into z plane
7 IV. Mathematical Models of SISO Digital Linear Systems – Mathematical modeling of DA and AD converters – Zero Order Holder (ZOH) Transfer Function – Sampling theorem.
8 Mid Term Exam
9 V. Stability of Digital Control Systems – Basic concepts of stability; pole positions and the stability area in z - plane – Routh Criterion, Jury Criterion
10 V. Stability of Digital Control Systems – Stability verification using bilinear transformation – Stability verification of DCS using OCTAVE / SCILAB
11 VI. Steady state and transient Performance of DCS – DCS transient response – Performance indicators in steady state and transient regime – Performance indicators of Second Order System in time domain – Phase and gain margins
12 VII. Digital Control System Design – z-domain root locus – z-domain DCS design
13 IX. Digital Control System Design – Design of Lead, Lag and Lead-Lag compensators
14 IX. Digital Control System Design – Design of P, PI, PD and PID Digital Controllers.
Prerequisite(s): Automatic Control at Bachelor degree
Textbook(s): 1. M. Sami Fadali, Antonio Visioli, Digital Control Engineering: Analysis and Design 2nd Edition, 2019, Academic Press, ISBN 13: 9780128144336 2. K.Ogata, Modern Control Engineering, 5th Edition, Pearson, 2015, ISBN: 9789332550162 3. N. S. Nise, Control Systems Engineering, 8th Edition, 2018, Wiley, ISBN: 9781119474210
Additional Literature: 1. Richard C. Dorf, Robert H. Bishop Modern Control Systems, 14th Edition, 2022, Pearson Education Limited, ISBN-13: 978-1-292-42237-4 2. Troy Nagle, James Brickley Charles L. Phillips Digital Control System Analysis & Design: Global Edition, 4th Ed, Pearson, ISBN-13: 9781292061221 1. G. Karapici - Lecture notes on Digital Control, 2022, Epoka University 2. G. Karapici - Power point slides on Digital Control, 2022, Epoka University
Laboratory Work: not available yet
Computer Usage: Octave/Scilab apllications to DCS
Others: No
COURSE LEARNING OUTCOMES
1 To learn z-transform using Octave/Scilab
2 To learn the application of Octave/Scilab to convert TF from s-domain into z-domain
3 To analyze the transient and frequency responses of Digital Control Systems
4 To analyze the stability of of closed systems in z-plane
5 To analyze DCS stability in z- plane using Octave/Scilab software.
6 To use Octave/Scilab Xcos for simulation of dynamics of DCS
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Master of Science in Electronics and Communication Engineering Program
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. 5
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations 5
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. 5
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. 5
5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. 5
6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. 5
7 The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. 5
8 Ability for effective oral and official communication skills in foreign language. 4
9 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. 5
10 Engineering graduates with well-structured responsibilities in profession and ethics. 5
11 Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. 4
12 Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. 4
COURSE EVALUATION METHOD
Method Quantity Percentage
Homework
1
10
Midterm Exam(s)
1
Project
1
20
Laboratory
1
5
Final Exam
1
60
Attendance
5
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 5.5 88
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignments 7 2 14
Final examination 1 20 20
Other 1 2.5 2.5
Total Work Load:
187.5
Total Work Load/25(h):
7.5
ECTS Credit of the Course:
7.5
CONCLUDING REMARKS BY THE COURSE LECTURER

NA