1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ENGINEERING
  3. MECHANICAL ENGINEERING DEPARTMENT
  4. 244 Mechanical Engineering (Evening Classes)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MENG 311AUTOMATIC CONTROL3 + 05th Semester3

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
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 11
LO 00155551224453
Sub Total55551224453
Contribution55551224453

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Mid-terms11212
Final examination12424
Total Work Load

ECTS Credit of the Course





78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall3VEYSEL ALKAN
Details 2023-2024 Fall4VEYSEL 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 3 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. VEYSEL ALKAN valkan@pau.edu.tr MUH A0202 %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: Definitions and Basic Concepts, Open-Loop (Without Feedback) and Closed-Loop (With Feedback) Control Systems, Examples of Control Systems Applications
2 Mathematical Modeling of Physical Systems and System Dynamics: Impulse Response and Transfer Functions of Linear Systems
3 Mathematical Modeling of Physical Systems and System Dynamics: Block Diagrams, Signal Flow Diagrams
4 Mathematical Modeling of Physical Systems and System Dynamics: State-space Modeling and Analysis of Control Systems
5 Mathematical Modeling of Physical Systems and System Dynamics: Mechanical Systems, Electrical and Electronic Systems
6 Mathematical Modeling of Physical Systems and System Dynamics: Liquid-level Systems, Thermal Systems
7 Transient and Steady-state Response Analyses of Systems: First-order Systems
8 Transient and Steady-state Response Analyses of Systems: Second-order Systems, Higher- Order Systems
9 Transient and Steady-state Response Analyses of Systems: Stability Analyses
10 Transient and Steady-state Response Analyses of Systems: Steady-state Error
11 Basic Control Actions and Response of Control Systems: Automatic Control Systems (P, PD, PI ve PID)
12 Basic Control Actions and Response of Control Systems: Effects of Integral and Derivative Control Actions on System Performance
13 Basic Control Actions and Response of Control Systems: Pneumatic Controllers
14 Basic Control Actions and Response of Control Systems: Hydraulic Controllers, Electronic Controllers
Materials
Materials are not specified.
Resources
ResourcesResources Language
Otomatik Kontrol, İbrahim Yüksel, 6. Baskı, Nobel Yayınevi, 2006Türkçe
Modern Control Engineering, Katsuhiko Ogata, 3th 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