ENERGY SYSTEMS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MCH3008 | Control Systems | Spring | 3 | 2 | 3 | 6 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Departmental Elective |
Course Level: | Bachelor |
Mode of Delivery: | E-Learning |
Course Coordinator : | Dr. Öğr. Üyesi TUĞCAN DEMİR |
Course Lecturer(s): |
Assoc. Prof. MEHMET BERKE GÜR RA RESUL ÇALIŞKAN |
Course Objectives: | The goal of this course to obtain a basic knowledge on the modeling, characteristics, and performance of feedback control systems, stability, root locus, frequency response methods, Nyquist/Bode diagrams, lead-lag, PID compensators, state space analysis and controller design. |
The students who have succeeded in this course; I. Describe basic concepts of dynamic systems modeling. II. Define the state-variable/state-space, input-ouput and block diagram representations. III. Describe the basic control actions and the transient and steady state response of dynamic systems. IV. Define Routh’s stability criteria and the concept of stability. V. Describe the Root locus analysis and controller design. VI. Define Frequency response and Bode Diagrams. VII. Define the concept of Nyquist stability, relative stability. VIII. Define the concept of controllability, observability and state feedback. |
Review of modeling of dynamic systems using differential equations, transfer functions, state space models, characteristics of feedback systems, time domain transient and steady-state response, stability of feedback systems, the Routh-Hurwitz method, the root-locus procedure, lead-lag compensators, frequency response analysis, Bode diagrams, Nyquist criteria, state feedback controller design. |
Week | Subject | Related Preparation | |
1) | Purpose and Motivation, application to engineering | ||
2) | Idea of System model, Standard Forms, Laplace Transform | ||
3) | Input-Output Models, Transfer Functions, State Variable Models, Block Diagrams | ||
4) | Basic Concepts, Transient and steady state response | ||
5) | Basic Concepts, Transient and steady state response | ||
6) | Routh’s Stability criteria and Root locus analysis | ||
7) | Routh’s Stability criteria and Root locus analysis | ||
8) | Lag, Lead and Lead-Lag Controller design via Root locus | ||
9) | Lag, Lead and Lead-Lag Controller design via Root locus | ||
10) | Frequency Response Analysis | ||
11) | State-Space Analysis | ||
12) | State-Space Control Design | ||
13) | State-Space Control Design | ||
14) | Course Review |
Course Notes: | Feedback Control of Dynamic Systems, 7th Edition, Gene F. Franklin, J. David Powell, Abbas Emami-Naeini, Modern Control Engineering, 5th edition, Katsuhiko Ogata |
References: | Ders notları |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 0 |
Laboratory | 14 | % 20 |
Application | 0 | % 0 |
Field Work | 0 | % 0 |
Special Course Internship (Work Placement) | 0 | % 0 |
Quizzes | 0 | % 0 |
Homework Assignments | 0 | % 0 |
Presentation | 0 | % 0 |
Project | 1 | % 15 |
Seminar | 0 | % 0 |
Midterms | 1 | % 25 |
Preliminary Jury | % 0 | |
Final | 1 | % 40 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 45 | |
PERCENTAGE OF FINAL WORK | % 55 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Laboratory | 14 | 2 | 28 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 14 | 6 | 84 |
Presentations / Seminar | 0 | 0 | 0 |
Project | 1 | 10 | 10 |
Homework Assignments | 0 | 0 | 0 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 1 | 2 | 2 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 3 | 3 |
Total Workload | 169 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
2) | Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose. | |
3) | Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. | |
4) | Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively. | |
5) | Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering. | |
6) | Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. | |
8) | Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. | |
9) | Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications. | |
10) | Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions. |