UNIVERSITY OF GONDAR
ATSE FASIL CAMPUS
SCHOOL OF TECHNOLOGY
ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT
ECEg5187: PROCESS CONTROL FUNDAMENTALS
Credits-3 (Five contact hours (Lecture-3, Tutorial-2))
Focus Area
Lecture
Tutorial
Industrial Control Engineering
Thursday (2:00 to 5.45)
Contact Details
Mr. Saravanakumar Gurusamy,
Lecturer/Electrical and Computer Engineering Department.
Email:
[email protected]
Consult Hours:
Monday to Friday after the class; request of consulting by the students will be encouraged.
Course Objectives
To understand the concepts of advanced industrial process control.
To design and simulate typical industrial process control.
To understand and develop state space models.
Pre - Requisites
Introduction to Instrumentation
Course Content
The following tentative outline may have a slight change as the course progresses!The following tentative outline may have a slight change as the course progresses!
The following tentative outline may have a slight change as the course progresses!
The following tentative outline may have a slight change as the course progresses!
Introduction to Process control
Introduction
Classification of process control strategy
Hierarchy of process control activities
An overview of control system design
Mathematical modeling of process
The rationale of dynamic process model
General modeling principles
Degrees of freedom analysis
Dynamic model of representative process
Modeling from input output data using Matlab
Comparison of Transfer function and state space models
Feedback controllers
Basic control modes
ON/OFF controller
Proportional, Integral and Derivative controller and Features of PID control
Typical responses of feedback control system
Digital version of PID controller
PID controller design, Tuning and Troubleshooting
Performance criteria for closed loop system
Model based design methods
Controller tuning relations
Online controller tuning
Feedforward and Ratio control
Introduction to feedforward control
Ratio control
Configuration for feedforward-feedback control
Tuning feedforward controller
Enhanced single loop control strategies
Cascade control
Dead time compensation
Inferential control
Selective control and override system
Nonlinear control system
Adaptive control system
Multiloop and multivariable control
Process interaction and control Loop interactions
Pairing of control and manipulated variable
Singular value analysis
Tuning of multiloop PID control system
Decoupling and multivariable control strategies
Fuzzy logic Controller
Fuzzy system
Structure of fuzzy controller
Examples
Distributed control system
Basic functions
Evolution of DCS
Architecture of DCS
Local control Unit
References
Seborg D, Edgar F, Mellichamp D, Process dynamics and control, Wiley New York, 2nd Edition, 2003.
Curtis D Johnson, Process Control Instrumentation Technology, Prentice Hall, 8th Edition, 2006
George stephanopolous, Chemical process control: An Introduction to theory and Practice, Prentice hall, 2nd Edition.
D.R. Coughanowr, Process Systems Analysis and Control, McGraw-Hill, 2nd Edition,1991
Teaching & Learning Methods
Lecture supported by Tutorial, Assignment and MATLAB Simulations.
Assessment/Evaluation & Grading System
Assignments and Quiz (20 %), Mid-semester Exam (30%), Final exam (50%).
Requirements according to Course policy
75% Lecture and 100% Laboratory attendance, Academic honesty, punctuality (late comers more than 5 minutes will not be allowed to enter), Active participation through interaction and discussion is essential in the class; Cell phones MUST be turned off before entering the class.
Course Teacher HOD
ECEg5233: INDUSTRIAL AUTOMATION LABORATORY
