Computer Engineering
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

Ders Genel Tanıtım Bilgileri

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

Type of Course

Flipped Classroom

Level of Course

Advanced

Semester

Spring

Contact Hours per Week

Lecture: 3

Recitation: -

Lab: -

Other: -

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

Expected Prior Knowledge

Knowledge of dynamics, differential equations and basic electric and electronic circuits

Co-requisites

MATH 213 - Differential Equations

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 Competences

Upon 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) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics	H	Exam,Participation,Project
2)	An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors	S	Project
3)	An ability to communicate effectively with a range of audiences	N
4)	An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts	N
5)	An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives	S	Project
6)	An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions	N
7)	An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.	S	Project

Prepared by and Date	DANTE DORANTES , November 2023
Course Coordinator	DANTE DORANTES
Semester	Spring
Name of Instructor	Prof. Dr. DANTE DORANTES

Course Contents

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

Assessment Tools	Count	Weight
Application	21	% 10
Quiz(zes)	16	% 10
Homework Assignments	2	% 20
Project	1	% 30
Midterm(s)	2	% 30
TOTAL		% 100

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

ECTS Student Workload Estimation

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