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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MENG 311AUTOMATIC CONTROL3 + 08th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To gain the knowledge and skills that provide the understanding of operation and working principles of automatic control systems in the technological fields with mathematical relations.
Course Content The properties and definitions of the automatic control systems and feedback control systems. Solution, interpretation and derivation of the mathematical relations which are the basis of the system dynamics. State-space modeling of the control systems. Steady-state and transient characteristics of the control systems. Stability analysis of control systems (Routh-Hurtwitz). Basic control actions and industrial controllers.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
11- Students learn basic concepts and definitions of automatic control 2- Students learn derivation of the mathematical models which constitutes the dynamic analyses of automatic control systems and learn to practice in this topic 3- Students learn derivation of the transfer functions and block diagrams which define input and output properties of automatic control systems and gain the capabilities of making enough practice in these topics. 4- Students learn modeling of automatic control systems by State-space method 5- Students learn obtaining steady-state and transient behavior of the systems to a certain input and learn the concepts needed in this topic. Based on these knowledge they understand the definitions related to time delay and steady-state error in a control system 6- Students learn investigation of the stability conditions of linear systems and learn application of Routh-Hurtwitz criterion which is the basic criterion on this topic 7- Students understand the structure, fundamental control forms (PID) and style of the operation of the controllers which are the main core of the automatic control systems and learn the application facilities in the industrial control systems and also learn determining suitable settings of these controllers

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17PO 18PO 19PO 20
LO 0013553511111313       
Sub Total3553511111313       
Contribution35535111113130000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14114
Mid-terms11818
Final examination13030
Total Work Load

ECTS Credit of the Course






104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall1ZEKERİYA GİRGİN
Details 2019-2020 Fall2ZEKERİYA GİRGİN
Details 2017-2018 Fall5ZEKERİYA GİRGİN
Details 2016-2017 Fall5ZEKERİYA GİRGİN
Details 2015-2016 Fall5ZEKERİYA GİRGİN
Details 2014-2015 Summer1ZEKERİYA GİRGİN
Details 2014-2015 Summer1ZEKERİYA GİRGİN
Details 2014-2015 Fall5ZEKERİYA GİRGİN
Details 2011-2012 Fall5VEYSEL ALKAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MENG 311 AUTOMATIC CONTROL 3 + 0 1 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
MUH A0204 %70
Goals To gain the knowledge and skills that provide the understanding of operation and working principles of automatic control systems in the technological fields with mathematical relations.
Content The properties and definitions of the automatic control systems and feedback control systems. Solution, interpretation and derivation of the mathematical relations which are the basis of the system dynamics. State-space modeling of the control systems. Steady-state and transient characteristics of the control systems. Stability analysis of control systems (Routh-Hurtwitz). Basic control actions and industrial controllers.
Topics
WeeksTopics
1 Introduction: Fundamental Definitions, Open Loop, Closed Loop and Some Examples related to them
2 Block Diagram Algebra and Reduction of Bock Diagrams
3 Signal Flow Graphs: Obtaining the Transfer Function of a system.
4 Mthematical Models of Physical Systems: Mechanical Systems, Hydraulic Systems, Electrical Systems
5 Transient and Steady-State Responce of Systems: First and Second Order Systems, Natural frequency, Damping ratio, Setting Time, etc.
6 Stability: Routh Criteria, Hurwitz Criteria
7 Linearization of Nonlinear Systems
8 Analysis with the Root-locus Method: Fundamental of the Root-Locus Method, Negatif Feedback Systems, Pozitive Feedback Systems
9 Design with the Root-Locus Method: Adding Pole A System, Adding Zero A System, Lead Compensation
10 Design with the Root-Locus Method: Lag Compensation,PD Controller Design, PI Controller Design, PID Controller Design
11 Fundamental Control Elements and their Response of Control System: Proportional(P), Integral(I), Differntial(D), PD, PI and PID Controller Elements.
12 Anaysis with the State-Space Method
13 Controllability, Observability
14 Control by using Matlab
Materials
Materials are not specified.
Resources
ResourcesResources Language
İ. Yüksel, Otomatik Kontrol, Sistem Dinamiği ve Denetim Sistemleri, 5. Baskı, Nobel Yayınevi, 2006Türkçe
K. Ogata Modern Control Engineering, 4th Ed., Prentice-Hall, 2002English
Z. Girgin, Otomatik Kontrol Ders Notları, Pamukkale Üniversitesi, Mühendislik Fakültesi, 2014Türkçe
İ. Yüksel, Otomatik Kontrol, Sistem Dinamiği ve Denetim Sistemleri, 5. Baskı, Nobel Yayınevi, 2006Türkçe
K. Ogata Modern Control Engineering, 4th Ed., Prentice-Hall, 2002English
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes