ECTS - Process Modelling Dynamics and Control

Process Modelling Dynamics and Control (CEAC407) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Process Modelling Dynamics and Control CEAC407 3 1 0 3 6
Pre-requisite Course(s)
CEAC 302 or CEAC 304
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To provide necessary information and performance for the analysis and design of process control systems and to provide skills for the choice of appropriate equipment and the analysis of parameters of control system elements.
Course Learning Outcomes The students who succeeded in this course;
  • Explore the role of process dynamics and the need of control of a chemical process
  • Study fundamentals of process control
  • Derive equations in examples constituted parts of mathematical models for several chemical engineering systems that illustrate the basic approach to the problem of mathematical modeling.
  • Criticize the cause-and-effect relationship between the variables.
  • Deal with more complete examples to develop mathematical models starting with simple systems and to progress to more realistic and complex processes.
  • Classify the types of systems and the types of disturbances.
  • Develop an appropriate control system structure for a single unit and a group of units.
  • Describe the frequency-domain dynamics including several dialects, Bode, Nyquist and Nichols plots.
  • Design the feedback controllers in the frequency domain.
  • Analyze the entire closed-loop multivariable processes by means of stability, robustness and performance to see the effects of using various feedback controllers for a given process with its matrix of open-loop transfer functions.
  • Describe the conventional diagonal structure, multi-loop SISO controllers and full-blown multivariable controllers and develop control structures for multivariable processes.
Course Content Mathematical models of chemical engineering systems, fundamentals, examples of mathematical models, time-domain dynamics, advanced control systems, frequency-domain dynamics, frequency-domain analysis of closed-loop systems, analysis of multivariable systems, design of controllers for multivariable processes.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction Text Book; Chapter 1
2 Mathematical models of chemical engineering systems Chapter 2
3 Mathematical models of chemical engineering systems Chapter 2
4 Examples of mathematical models of chemical engineering systems Chapter 3
5 Examples of mathematical models of chemical engineering systems Chapter 3
7 Time-domain dynamics Chapter 6
8 Time-domain dynamics Chapter 6
9 Advanced control systems Chapter 8
10 Advanced control systems Chapter 8
11 Nonlinear and adaptive control Chapter 8
12 Nonlinear and adaptive control Chapter 8
14 Frequency-domain dynamics Chaper 12
15 Analysis of multivariable systems Chapter 15


Course Book 1. W.L. Luyben, Process Modeling, Simulation and Control for Chemical Engineering, McGraw Hill, Inc. (1990)
Other Sources 2. E.T. Marlin, Process Control: Designing Process and Control Systems for Dynamics Performance, McGraw Hill, Inc. (2000)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering to solve chemical engineering and applied chemistry problems. X
2 An ability to analyze and model a domain specific problem, identify and define the appropriate requirements for its solution. X
3 An ability to design, implement and evaluate a chemical engineering system or a system component to meet specified requirements. X
4 An ability to use the modern techniques and engineering tools necessary for chemical engineering practices. X
5 An ability to acquire, analyze and interpret data to understand chemical engineering and applied chemistry requirements. X
6 The ability to demonstrate the necessary organizational and business skills to work effectively in inter/inner disciplinary teams or individually. X
7 An ability to communicate effectively in Turkish and English. X
8 Recognition of the need for, and the ability to access information, to follow recent developments in science and technology and to engage in life-long learning. X
9 An understanding of professional, legal, ethical and social issues and responsibilities in chemical engineering and applied chemistry. X
10 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards and methodologies. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Homework Assignments 5 2 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 15 30
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 124