Course Information Semester Course Code Course Title T+P+L Credit ECTS 6 05160606 Control Engineering 3+0+0 3 6 Course Details Language : Turkish Level : Bachelor's Degree Department / Program : Electrical and Electronics Engineering Mode of Delivery : Face to Face Type : Compulsory Objectives : This course is to enable students to perform mathematical modeling of systems. In addition, this course aims to teach the control techniques and to interpret the system response. Content : Mathematical models of systems. Models with state variables: Graphic state models with signal flow. Features and performance of feedback control systems. Stability of linear feedback systems: Routh-Hurwitz criterion. Root locus method. Frequency response methods: Bode diagram. Stability in the frequency domain: Nyquist criterion. Methods & Techniques : Prerequisites and co-requisities : None Course Coordinator : Associate Prof.Dr. Hulusi AÇIKGÖZ Name of Lecturers : Instructor Mehmet ÖZBAY Assistants : None Work Placement(s) : No Recommended or Required Reading Resources : Modern Control Systems, by Richard C. Dorf, Robert H. Bishop, 11th Edition, Prentice Hall, (2008) Course Category Engineering 50% Engineering Design 50% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 40% Final examination 1 60% Total 2 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 3 42 Hours for off-the-c.r.stud 14 4 56 Assignments 10 3 30 Presentation 8 2 16 Mid-terms 1 10 10 Laboratory 6 1 6 Final examination 1 10 10 Total Work Load ECTS: 6 170 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 Build mathematical models of engineering problems and simulate them 2 Know the mathematical models of interactive electrical systems, ability to analyze dynamic behavior and frequency response (System Din.) 3 Know the fundamental feedback control methods (binary control, PWM, P, PI, PD, PID) and simulate them 4 Know the basic measurement methods, sensors, amplifiers, transducers and other measurement components 5 Know the state variables and state space model in Electrical-Electronics systems 6 Apply control techniques in real time systems 7 Know the concept of transfer function Weekly Detailed Course Contents Week Topics 1 Mathematical models of systems. 2 Mathematical models of systems. 3 State variable models: Signal-flow graph state models. 4 State variable models: Signal-flow graph state models. 5 Characteristics and performance of feedback control systems. 6 Characteristics and performance of feedback control systems. 7 The stability of linear feedback systems: The Routh-Hurwitz criterion. 8 The stability of linear feedback systems: The Routh-Hurwitz criterion. 9 The root locus method. 10 The root locus method. 11 Frequency response methods: The Bode diagram. 12 Frequency response methods: The Bode diagram. 13 Stability in the frequency domain: Nyquist criterion. 14 Stability in the frequency domain: Nyquist criterion. Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11 All 3 C1 5 C2 5 C3 3 C4 5 C5 3 C6 5 bbb
