Digital Control (MECE406) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Digital Control MECE406 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
MECE306
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course aims to introduce design and implementation of control systems which are based on the use of computers. The course describes issues that are related to discrete time and their relevance to continuous time. Students equipped with knowledge on designing continuous time control systems will study discretization of systems and controllers, implementation of closed-loop control, analysis and interpretation of results.
Course Learning Outcomes The students who succeeded in this course;
  • To learn z- and inverse-z transform
  • To be able to model and analyse discrete time control systems
  • To understand and practice design and realization of discrete controllers
Course Content Z-transform, discretization, stability analysis, steady state analysis, root locus, design in discrete time, state space and structural properties of discrete time systems, Lyapunov theory and observer based design.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction, Nyquist Sampling Theorem NA
2 Z transform, inverse Z transform, convolution property, initial and final value theorem NA
3 Types of difference equations, (MA, AR, ARMA, ARMAX), approximation methods for obtaining G(z) from G(s), FR, BR, TR, PZ mapping, ZOH equivalence, step invariance, impulse response discretization, discretization by solution of the state equations, pade approximation, mapping from s-domain to z-domain, finding Z transform from block diagrams, prewarping (matching of half power frequency) NA
4 Stability analysis, jury test, routh criterion with bilinear transformation NA
5 Realizations: direct, series, parallel, ladder NA
6 Steady state error analysis NA
7 Root locus, design based on root locus NA
8 Direct design method of Raggazzini, discrete PID NA
9 Discrete time state space representation of dynamical systems, structural properties; controllability, observability, stabilizability, detectability NA
10 Lyapunov stability for discrete time systems NA
11 Pole placement, Bass-Gura formula, Ackermann formula NA
12 Discrete time observers NA
13 Problem session NA
14 Problem session NA
15 Problem session N/A
16 Final Examination N/A

Sources

Course Book 1. Digital Control, K. Moudgalya, ISBN: 978-0470031445, Wiley, 2007.
Other Sources 2. 1. Digital Control System Analysis and Design, C. L. Phillips, H. T. Nagle,
3. Discrete-Time Control Systems, K. Ogata, ISBN: 0-13-328642-8, Pearson, 1995.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 30
Toplam 9 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. X
2 Ability to formulate, and solve complex mechatronics engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
3 Ability to design a complex mechatronics engineering system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. X
4 Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in mechatronics engineering and robot technology practices; ability to employ information technologies effectively. X
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex mechatronics engineering and robot technology problems or research questions. X
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7 Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 a-) Knowledge on behavior according to ethical principles, professional and ethical responsibility b-) Knowledge on standards used in engineering practices.
10 a-) Knowledge about business life practices such as project management, risk management, and change management b-) Awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions in the field of mechatronics engineering.
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planning, improving or changing the norms with a criticism.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 2 28
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project 1 20 20
Report
Homework Assignments 6 4 24
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 15 30
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 150