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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Automatic Control MKT210 Compulsory Bachelor's degree 2 Spring 7

Name of Lecturer(s)

Prof. Dr. Hüseyin Metin ERTUNÇ

Learning Outcomes of the Course Unit

1) Explaining the fundamental control terms such as closed loop, feedback, steady state error, characteristic equation and stability.
2) Representing the control systems based on their transfer functions and state space.
3) Explaining the controllability and observability concepts.
4) Recognizing the response of control systems at time domain.
5) Recognizing the response of control systems at frequency domain.
6) Reviewing operation principles of PID algorithms and their industrial applications.
7) Realizing the simulation of control systems at Matlab/Simulink environment.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11
Learning Outcomes
1 Middle High High Middle High High Middle High Middle Low Low
2 High High High Middle Middle High Middle Middle Middle Low Low
3 Middle Middle High No relation Middle High High Middle Low Low Low
4 Middle High High Middle Middle High High High Middle No relation Low
5 Middle Middle High Middle Middle High High Middle Middle Low Low
6 High High Middle Middle Middle High High No relation Middle Low Low
7 High High High Middle Middle High High High Middle Low Low

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

MKT 209 System Dynamics

Course Contents

This course covers; fundamental control concepts, open loop-closed loop control, feedback, Laplace transformations, transfer functions, block diagrams, mathematical modeling of physical systems, state-space analysis, controllability, observability, time-domain analysis of control systems, transient and steady state response of the systems, Routh-Hurwitz stability analysis, root-locus, Bode plots, Nyquist plots, PID control design, Matlab/Simulink simulations.

Weekly Schedule

1) Fundamental control concepts, what is control, aim of the control, applications of control, natural and industrial control systems.
2) Open loop and closed loop control systems, feedback concept, negative and positive feedback, effects of the feedback on systems.
3) Laplace transformations, inverse Laplace transformations, transfer functions, block diagrams.
4) The modeling of electric motors, DC motor control.
5) State space analysis, controllability and observability.
6) Characteristic equations, eigenvalues, eigenvectors, simulation transformations.
7) Stability of linear systems, Routh-Hurwitz stability criteria.
8) Midterm examination/Assessment
9) Time domain analysis of control systems, steady state error, transient response of first order and second order systems.
10) Root locus techniques, plot techniques.
11) Frequency domain analysis, resonance frequency, bandwidth.
12) Nyquist stability criteria, Nyquist plot techniques.
13) Bode diagrams and stability analysis using Bode diagrams.
14) P, PI, PD, PID control algorithms and tuning of PID control parameters.
15) Phase lead control, phase lag control, general discussion of control systems.
16) Final examination

Recommended or Required Reading

1- Modern Kontrol Mühendisliği, K. OGATA, Palme Yayın
2- Otomatik Kontrol Sistemleri, B. KUO, Literatür Yayıncılık
3- Otomatik Kontrol Sistemleri, Mehmet Önder Efe, Seçkin yayıncılık
4- Otomatik Kontrol, İbrahim Yüksel, Uludağ Üniversitesi yayınları
5- Modern Control Systems, R.C. Dorf, R.H.Bishop, Prentice Hall.

Planned Learning Activities and Teaching Methods

1) Lecture
2) Simulation
3) Lab / Workshop
4) Problem Solving
5) Project Based Learning


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

50%

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required