ACADEMICS
Course Details

ELE434 - Computer Control Laboratory

2023-2024 Spring term information
The course is open this term
Supervisor(s)
Name Surname Position Section
İsmail Uyanık Supervisor
Onurcan Yılmaz Assistant 21-25
Eren Cem Göksülük Assistant 21-25
Weekly Schedule by Groups
Section Day, Hours, Place
Friday, 17:00 - 18:00, Online

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

ELE434 - Computer Control Laboratory
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 0 3 1 2
Obligation : Elective
Prerequisite courses : -
Concurrent courses : ELE430
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Preparing and/or Presenting Reports, Experiment, Problem Solving, Other: This course must be taken together with ELE430 COMPUTER CONTROL.
Course objective : The aim is to provide a better understanding of the theoretical subjects taught in "ELE 430 Computer Control" course via computer simulations and experiments carried out on laboratory setups, and to allow students to improve their abilities in this respect.
Learning outcomes : A student who completes the course successfully is expected to 1. Understand the relationship and transformations between continuous-time and discrete-time systems . 2. Be able to implement continuous-time controllers on digital platforms such as microcontrollers or DSP cards or computers. 3. Design and implement digital control systems. 4. Be aware of practical issues and physical limitations concerning digital control systems. 5. Be acquired a suitable background to study more advanced digital control problems.
Course content : A/D-D/A converters, sampling and zero order hold. Digital control of a servo system and observing the effects of sampling rate on the performance. Response of discrete-time systems and examining the effects of pole zero location. Comparing different discrete-time approximations of continuous-time systems. Experimenting with root locus and Bode design techniques. Pratical aspects and computer implementation of a PID controller. Experimenting with state feedback and observers.
References : [1] Ogata K., Discrete-Time Control Systems, 2nd Ed., Prentice Hall, 1995.; [2] Franklin G.F., Powell J.D. and Workman M.L., Digital Control of Dynamic Systems, 2nd Ed., Addison Wesley, 1990.; [3]Aström K.J. and Wittenmark B., Computer Controlled Systems: Theory and Design, 3rd Ed., Prentice Hall, 1997.
Course Outline Weekly
Weeks Topics
1 An overview of digital control systems and the set-ups used in the experiments.
2 Experimenting with A/D and D/A converters, sampling and zero-order hold.
3 Digital control of a servo system and observing the effects of sampling rate on the performance-part I.
4 Digital control of a servo system and observing the effects of sampling rate on the performance- part II.
5 Response of linear discrete-time systems: computer simulation using MATLAB.
6 Discrete-time equivalents to continuous-time systems: computer simulation using MATLAB.
7 Digital PID control of a liquid level system-part I.
8 Digital PID control of a liquid level system-part II.
9 Midterm Exam
10 Discrete controller design by root-locus: computer simulation using MATLAB
11 Discrete controller design by Bode plot: computer simulation using MATLAB
12 Observer+state feedback: computer simulations using MATLAB.
13 Digital state feedback control of an inverted pendulum system- part I.
14 Digital state feedback control of an inverted pendulum system-part II.
15 Preparation for Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 12 40
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 0 0
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 20
Final exam 1 40
Total 100
Percentage of semester activities contributing grade success 60
Percentage of final exam contributing grade success 40
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 1 3 3
Laboratory 12 3 36
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 12 1 12
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study Duration) 1 2 2
Final Exam (Study duration) 1 4 4
Total workload 27 13 57
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Minor Program For Non-departmental Students | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Erasmus+ Program | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering