| School/Faculty/Institute | Faculty of Engineering | |||||
| Course Code | ME 303 | |||||
| Course Title in English | System Dynamics and Control | |||||
| Course Title in Turkish | Sistem Dinamiği ve Kontrol | |||||
| Language of Instruction | EN | |||||
| Type of Course | Flipped Classroom | |||||
| Level of Course | Advanced | |||||
| Semester | Spring | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 211 hours per semester | |||||
| Number of Credits | 6 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites |
ME 201 - Engineering Mechanics: Dynamics DYN 201 - Engineering Mechanics: Dynamics | MATH 213 - Differential Equations EE 212 - Electrical and Electronic Circuits |
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| Expected Prior Knowledge | Knowledge of dynamics, differential equations and basic electric and electronic circuits | |||||
| Co-requisites |
MATH 213 - Differential Equations |
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| Registration Restrictions | Only Undergraduate Students | |||||
| Overall Educational Objective | To learn the principles of analog control engineering such as system modeling in time and frequency domains, time response, stability, root locus, frequency and state space design. | |||||
| Course Description | This course provides the fundamental aspects of control engineering, covering such topics as: System modeling and analysis of linear time-invariant systems in time, Laplace, and frequency domain methods, as well as with the State-space Method; linearization; time response; block diagram reduction; stability analysis using the Routh-Hurwitz and Root Locus techniques; system model conversions; system analysis with initial conditions and general form inputs; state variable feedback controller design. Computer-aided tools will also be used throughout the course. | |||||
| Course Description in Turkish | Bu ders kontrol mühendisliğinin temel kavramlarını içermektedir ve şu konuları kapsamaktadır: Sistem modellemesi ve zaman içinde doğrusal zamanla değişmeyen sistemlerin analizi, Laplace, frekans alanı yöntemleri ile Durum-Alan Yöntemi; doğrusallaştırma; Zaman tepkisi; Blok diyagram indirgemesi; Routh-Hurwitz ve Root Locus teknikleri kullanılarak stabilite analizi; Sistem modeli dönüşümleri; Başlangıç koşulları ve genel form girdileri ile sistem analizi; Durum değişken geri bildirim kontrolör tasarımı. Bilgisayar destekli araçlar da ders boyunca kullanılacaktır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) identify, analyze, formulate and solve problems on block diagram modeling and setting their mathematical model as ordinary differential equations, Laplace transform, frequency domain, and state-space representations; 2) identify, analyze, formulate and solve problems applying the mesh analysis for linear, time-invariant mechanical systems of multiple degrees of freedom to obtain the state-space model; 3) identify, analyze, formulate and solve problems on time response behavior of second-order systems, apply stability analysis, and design PID controllers using MATLAB Control Systems Toolbox and Simulink; 4) design and implement a PID control system for a real-life application; 5) communicate and collaborate on a project team, setting goals, accomplishing tasks, and meeting deadlines, professionally write its final report and defend it orally; 6) self-learn and apply new knowledge by his/her own means as a valuable life-long learning skill. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||
| 6) Internalization and dissemination of professional ethical standards. | ||||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | DANTE DORANTES , November 2023 |
| Course Coordinator | DANTE DORANTES |
| Semester | Spring |
| Name of Instructor | Prof. Dr. DANTE DORANTES |
| Week | Subject |
| 1) | Introduction. Block Diagram Modeling of Physical Systems. |
| 2) | System Modeling Techniques: ODE, TF, FD & SS. Solving ODE’s by Laplace Transform and by the use of MATLAB Symbolic Objects. |
| 3) | MISO DC motor model. Transfer functions & Bode plots. Modeling with OpAmps. |
| 4) | Motor constants. Equivalent moment/moment of inertia/viscous damping. Linearization. |
| 5) | The Mesh Analysis Technique. |
| 6) | The Mesh Analysis Technique. MATLAB Plotting, transfer functions, and State Space. |
| 7) | Arithmetic operations, vectors, solving polynomials in Matlab. Time response concepts. |
| 8) | Time Response of system elements. Performance Criteria. System identification. |
| 9) | The PID controller analysis and controller tuning. |
| 10) | LTI Viewer. Reduction of Block Diagrams. TF-SS & SS-TF conversions. Initial Conditions. |
| 11) | PID Tuning in Matlab. Simulink model of PID controller & plant. |
| 12) | Stability Analysis via Routh-Hurwitz. |
| 13) | Stability Analysis via Root Locus. Signal Flow Graphs and the State-Variable Feedback Design Method (Pole Placement), Controllability. |
| 14) | The State-Variable Feedback Design Method. |
| 15) | Project Presentation period. |
| 16) | Project Presentation period. |
| Required/Recommended Readings | • Control Systems Engineering, International Student Version, Norman S. Nise, 6th Edition, Wiley, 2011. ISBN: 978-0-470-64612-0 Other reference: • System Dynamics, William J. Palm, 4th Edition, McGraw-Hill, 2021 (textbook) ISBN10: 0078140056, ISBN13: 9780078140051 • Modern Control Engineering, Katsuhiko Ogata, 5th Edition, Pearson, 2009 | |||||||||||||||||||||
| Teaching Methods | Flipped classroom | |||||||||||||||||||||
| Homework and Projects | Design, analysis and implementation of a PID position control system. | |||||||||||||||||||||
| Laboratory Work | None | |||||||||||||||||||||
| Computer Use | Compulsory computer-aided problem-solving using MATLAB Control Toolbox and Simulink. | |||||||||||||||||||||
| Other Activities | None | |||||||||||||||||||||
| Assessment Methods |
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| Course Administration |
dorantesd@mef.edu.tr 0212 395 36 40 Rules for attendance: attendance is taken during Flipped Classroom Practice. A minimum of 70% of attendance is mandatory. Rules for Flipped Classroom Practice: Missed Flipped Classroom Practice (FCP) quizzes will be given a zero grade. Participation quizzes with flaws or lack of individual collaboration attitude during teamwork will be given a grade of one. Successful participation quizzes and individual collaboration attitudes will be given a grade of two. FCP activities are conducted during online class time (20-40 min), by solving a similar previously solved exercise, but working in randomly formed teams, and emailing their solution scanned pdf file using CamScanner application by the end of the class. The FCP evidence will be the only way to count student class attendance. Rules for late submission of project or assignment: It will be discounted 50/100 for each delayed day. Rules for missing a midterm: Provided that a valid official justification approved by the university and presented, a make-up midterm will be granted one week immediately after the regular midterm date. Minimum grade to be allowed to pass the course (FZ): Satisfactory Flipped Classroom Practice, Midterms, Assignments, and Project grades, as well as at least 70% attendance, are mandatory to be allowed to pass the course. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://www.mef.edu.tr/Yonetmelikler |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 12 | 0 | 2 | 1 | 36 | ||
| Project | 3 | 22 | 20 | 2 | 132 | ||
| Homework Assignments | 10 | 0 | 0.5 | 0.5 | 10 | ||
| Quiz(zes) | 12 | 0 | 2 | 1 | 36 | ||
| Final Examination | 1 | 2 | 4 | 1 | 7 | ||
| Total Workload | 221 | ||||||
| Total Workload/25 | 8.8 | ||||||
| ECTS | 6 | ||||||