Course Details

ELE 405 Control System Design Laboratory
2021-2022 Spring term information

The course is not open this term

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.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University ( in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 26/05/2022.


Course Name Code Semester Theory
Credit ECTS
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
Other: This course must be taken together with ELE403 CONTROL SYSTEMS DESIGN.  
Instructor (s)Faculty members 
Course objectiveThis course is designed to support "ELE 403 Control System Design" course. The control tecniques thaught in ELE 403 are examined and tested either by computer simulations using MATLAB or by experiments using laboratory set-ups. 
Learning outcomes
  1. A student who completes the course successfully is expected to
  2. 1. Understand the nature of a control problem,
  3. 2. Be aware of practical issues and physical limitations concerning control systems,
  4. 3. Be able to choose a suitable control technique for a given control problem,
  5. 4. Design and implement control systems,
  6. 5. Be acquired a suitable background to study more advanced control problems.
Course ContentP, PI and PID control. Control system design by using root-locus and Bode plots.
Linear algebraic design. Time delay sytems and predictive control. State-space, state feedback and observers. Control of nonlinear systems using linear techniques.
References[1] Ogata K., Modern Control Engineering, 4th Ed., Prentice Hall, 2002.
[2] Dorf R.C. and Bishop R.H., Modern Control Systems, 9th Ed., Addison Wesley, 2001.
[3] Franklin G.F, Powell J.D. and Emami-Naeini A., Feedback Control of Dynamic Systems,
6th Ed., Addison Wesley, 2010.
[4] Dutton K., Thompson S. and Barraclough B., The art of Control Engineering,
Addison-Wesley, 1997.
[5] Chen C.T., Control System Design: Transfer Function, State-Space and Algebraic Methods, Saunders-HBJ, 1993.
[6] Aström K.J. and Hagglund T., Automatic Tuning of PID Controllers, ISA, 1988.
[7] Gawthrop P.J., Continuous-Time Self-Tuning Control,Volume I-Design, Research Studies Press, 1987.
[8] Atherton D.P., Nonlinear Control Engineering, Van Nostrand Reinhold, 1982.
[9] AMIRA DTS200 Three Tank System, Manual.
[10] AMIRA DR300 Speed Control, Manual.
[11] AMIRA LTR701 Air and Temperature Control Plant, Manual.
[12] AMIRA PS600 Inverted Pendulum, Manual. 

Course outline weekly

Week 1An overview of the control systems and the set-ups used in the experiments.
Week 2Modelling a liquid level system using step response.
Week 3Least squares parameter estimation. Estimating parameters of the liquid level system using least squares method.
Week 4P, PI and PID control of the liquid level system.
Week 5Modelling a DC servo system using practical data.
Week 6P, PI and PID control of the DC servo system.
Week 7Controller design by using root-locus: computer simulations using MATLAB.
Week 8Controller design by using Bode plotes: computer simulations using MATLAB.
Week 9Linear algebraic design: computer simulations using MATLAB.
Week 10Midterm exam
Week 11Predictive control of time delay systems: computer simulations using MATLAB.
Week 12PID and predictive control of a thermal air flow system.
Week 13Observer+state feedback: computer simulations using MATLAB.
Week 14State feedback control of an inverted pendulum system.
Week 15Preparation for Final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Field activities00
Specific practical training00
Final exam140
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 1 3 3
Laboratory 12 3 36
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)12112
Presentation / Seminar Preparation000
Homework assignment000
Midterms (Study duration)122
Final Exam (Study duration) 144
Total Workload271357

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.     X
2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.    X
3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.     X
4. PO4. Designs a system under realistic constraints using modern methods and tools.    X
5. PO5. Designs and performs an experiment, analyzes and interprets the results.    X
6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.   X  
7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.  X  
8. PO8. Performs project planning and time management, plans his/her career development. X   
9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.   X 
10. PO10. Is competent in oral or written communication; has advanced command of English.  X  
11. PO11. Has an awareness of his/her professional, ethical and social responsibilities. X   
12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.  X  
13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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