CHE407 PROCESS CONTROL

Course Code:5630407
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:5.0
Department:Chemical Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Assoc.Prof.Dr. İNCİ AYRANCI TANSIK
Offered Semester:Fall Semesters.

Course Objectives

By the end of this course, students will model unit operations under
steady and unsteady state conditions and develop control strategies and
systems for processes of interest to chemical engineer.


Course Content

Modeling of steady and unsteady-state behavior of chemical processes. Optimal control strategies of processes of particular interest to chemical engineers. Discussion of both classical and modern control theory with applications.


Course Learning Outcomes

Upon the successful completion of the course, students should be able to

  • Identify and classify process variables as manipulated, controlled or disturbance depending on the particular control objective and the specified control algorithm,
  • Derive unsteady-state system models in order to predict dynamic responses of chemical engineering systems,
  • Construct transfer function models based on the dynamic system model for chemical engineering systems using Laplace transforms and when necessary appropriate linearization techniques,
  • Identify transfer functions of systems based on data from their open loop response,
  • Analyze the open loop response of common systems to standard process inputs such as steps, ramps and sinusoids,
  • Describe the structure of PID controllers and their transfer functions,
  • Define and discuss the equipment needed to implement process control algorithms such as actuators, transducers and digital controllers as well as signal transmission,
  • Construct the closed loop transfer function of control loops using block diagram algebra,
  • Evaluate the stability and performance of closed loop feedback controllers using the generalized stability criterion and the Bode stability criterion,
  • Design feedback PID controllers based on identified or derived system models using available tuning algorithms,  
  • Use Matlab® and Simulink® simulation software packages for analyzing dynamic behavior of closed and open loop systems,
  • Describe advanced process control algorithms such as cascade, ratio, inferential and feed-forward control,
  • Demonstrate and enhance the ability to work effectively with their peers.

 


Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An 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
3An ability to communicate effectively with a range of audiences
4An 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
5An 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
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies