Course syllabus

  1. Learning outcome
  2. Course syllabus

010013204-65 การควบคุมอัตโนมัติ (Automatic Control)

Course Syllabus

Data entry : Asst.Prof. Dr.Teerawat Sangpet
1. Course number and name

010013204-65 การควบคุมอัตโนมัติ (Automatic Control)

2. Credits and contact hours

3(3-0-6)

3. Instructor’s or course coordinator’s name

Asst.Prof. Dr.Teerawat Sangpet
Prof. Dr.Suwat Kuntanapreeda

4. Text book, title, author, and year

5. Specific course information

  1. brief description of the content of the course (catalog description)
    Automatic control principles, analysis and modeling of control elements, open-loop control system and feedback control system, analysis and stability of feedback systems, PID control, analysis of control system in time and frequency domains, design of control system using root locus and frequency response, introductory state feedback control.
  2. prerequisites or co-requisites
    040203211-65 Engineering Mathematics III
    010013121-65 Engineering Mechanics
  3. indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
    Required :

6. Specific goals for the course

  1. specific outcomes of instruction (e.g. The student will be able to explain the significance of current research about a particular topic.)
    1. CLO1 1. Identify the mathematical model and transfer function of the system
    2. CLO2 2. Identifies constrains on the design problem, and establishes requirements and desirability of solutions based on appropriate engineering practice or standard
    3. CLO3 3. Ability to analyze the stability and response of the control system
    4. CLO4 4. Ability to design a controller that corresponding to target
  2. explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course.
    ABET Student Outcome (SO) Listed in Criterion 3 Course learning outcome (CLO)
    SO2 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.
    • CLO1 1. Identify the mathematical model and transfer function of the system
    • CLO2 2. Identifies constrains on the design problem, and establishes requirements and desirability of solutions based on appropriate engineering practice or standard
    • CLO3 3. Ability to analyze the stability and response of the control system
    • CLO4 4. Ability to design a controller that corresponding to target

7. Brief list of topics to be covered
Week Topic Details Activities
1 Intro to Automatic Control - Describe about the syllabus in all detail, - Describe the different between closed loop and open loop system - Describe the different between on/off control and continuous control - Describe a control system design process Describe syllabus, Lecture,
2 PID turning - Introduce PID controller - Describe the effects of P, I, D gains - Introduce Ziegler-Nichols turning methods
3-4 System representations - Review ODE and Laplace transformation - Transfer function, Poles, and Zeros - Mathematical models of systems - Mathematical models of systems (cont.) - Block diagram Lecture & MATLAB
5 Stability - Review Inverse Laplace transformation - Stability and Routh-Hurwitz criterion - Determination of the controller gain using Routh-Hurwitz criterion Lecture & MATLAB
6 Time response - Time responses of first-order systems - Time responses of second-order systems - System response with additional poles - System response with zeros Lecture & MATLAB
7 Steady state errors - System Type - Steady state error for feedback control systems - Controller design based on steady state error specifications Lecture & MATLAB
8 Root locus techniques - Defining the Root Locus - Properties of the Root Locus - Sketching the Root Locus - Introductory controller design using root locus technique Lecture & MATLAB
9-10 Controller design - PI-Controller design via root locus techniques - PD-Controller design via root locus techniques - PID-Controller design via root locus techniques Lecture & MATLAB
11-13 Frequency Reponses - Bode plot - Nyquist plot - Phase and gain margins - Lead compensator design - Lag compensator design - Lag-lead compensator design Lecture & MATLAB
14 State space feedback - Introduction to State feedback controller Lecture & MATLAB
15 Review Review Lecture & MATLAB
8. Course Assessment
Course assessment Weight score (%) Assessment tools Date
Mini project 10 assignment 02 Mar 2026 - 15 Mar 2026
Midterm Exam 30 midterm examination
Final 50 final examination
HW +Quiz 10 quiz

หมายเหตุ - ลำดับเนื้อหาจะมีการปรับเปลี่ยนตามความเหมาะสม