ECE 7210: Process Control and Instrumentation (Spring 2024)

Instructor: Tariq Iqbal

Teaching Assistants: Check the course website

E-mail: tariq@online.mun.ca

Phone: 864-8934

Office Location: CSF-3122

Office Hours: Tuesday: 10:30am to 12:30pm

Website: A D2L based course website can be accessed at https://online.mun.ca The course website contains the latest course information, copies of the class notes, deadlines, labs details and course supporting material. Submit all assignments and lab reports on the course website in pdf format in an appropriate dropbox.

Communication: Preferred method is an email through the course website.

Calendar Entry: Process Control and Instrumentation begins with an introduction to feedback control systems, and instrumentation. Topics include modeling thermal, gas, liquid and chemical processes; sensors and transmitters, controller design and simulation in Matlab /Simulink, industrial feedback controllers; design of feedback control loops, tuning of feedback controllers; cascade, ratio, digital controller design; feed forward control; multi-variable process control; fuzzy logic control and tuning, instrumentation electronics design, and process system identification using Matlab /Simulink.

LH: twelve 3-hour sessions per semester

PR: ENGI 5821

Lab Experience:

Six mandatory lab experiments (12 sessions) are completed by groups of two students under the watch of teaching assistants/instructor. Students will perform design, simulation and analysis of instrumentation circuits, data logging, controller design, implementation using hardware components, simulation in Matlab, analysis and debugging of controllers design. A written report is submitted by each group at the end of the lab sessions.

CREDIT VALUE: 3 credit hours

COURSE TYPE: Elective

ACCREDITATION UNITS: 3/3/0

CONTENT CATEGORIES: Engineering Science 60%, Engineering Design 40%

Course Description:

The aim of this course is to develop student knowledge and understanding of process instrumentation and control system design. The course will cover detailed dynamic modelling of few process systems and instrumentation electronics design. Simulation of process systems and control system design will be done in Matlab/Simulink. The course will examine state space models for multi-input/output process systems, selection of sensors and instrumentation design, feedback control loops tuning and overall system control based on feedback, state observers and advanced control techniques. At the end of this course students will be able to model process systems, specify and design instrumentation and related electronics, simulate systems in Matlab/Simulink, design and tune process controllers, test and evaluate the performance of the designed process controllers. Labs are designed to practice instrumentation, control design and analysis. Extensive use of Matlab/Simulink and Multisim are also included in the course.

Course Schedule: Lectures: Monday, Wednesday, Friday, 10:00am to 10:50am in the classroom En1002

Labs: Twelve 3 hour sessions on Thursdays 2:00 to 5:00pm in CSF-2102

Tutorial: None

Reference Books:

1. Principles and Practices of Automatic Process Control, Carlos A. Smith and Armando B. Corripio, Wiley, 3 edition, 2005, ISBN-13: 978-0471431909

2. Process Dynamics and Control, Dale E. Seborg, Duncan A. Mellichamp, Thomas F. Edgar, Francis J. Doyle, Wiley, 3 edition, 2010, ISBN-13: 978-0470128671

3. Essential MATLAB for Engineers and Scientists, Seventh Edition, Brian D. Hahn, Daniel T. Valentine, 2019

4. https://pc-education.mcmaster.ca

Major Topics:

1. Introduction to process systems

2. Modelling of process systems

3. Sensors and transducers

4. Instrumentation design for process systems

5. Control system design and simulation

6. Tuning of feedback controllers

7. Process system identification

8. Fuzzy logic control technique for process systems

Labs:

There are six labs in this course that involve the design, simulation and analysis of process instrumentation and control. It is mandatory for students to perform all six labs (12 sessions). Students are required to design and simulate instrumentation, design controller and complete system analysis according to the guidelines provided by the instructor in the class. Laboratory work is a group effort therefore; each lab report should detail individual contribution to the lab.

Lab 1: Introduction to Matlab based data logging

Lab 2: Instrumentation of a compressed air system using an Arduino and data logging in Matlab

Lab 3: Test a compressed air system and determine the energy input required to fill up the tank and find its dynamic model.

Lab 4: Determine the stored compressed air energy loss rate and design an ON/OFF controller for a compressed air system

Lab 5: Store 1000J in the tank and determine the stored energy left in the tank two hours after a fill up

Lab 6: Design and simulation of a fuzzy logic controller for a compressed air system

LEARNING OUTCOMES: Upon successful completion of this course, the student will be able to:

Each Graduate Attribute for each learning outcome is rated at a Content Instructional Level of I=Introductory, D=Developed, or A=Applied). See http://www.mun.ca/engineering/undergrad/graduateattributes.pdf for more information on the 12 Graduate Attributes you are expected to be proficient in upon graduation.

Assessment:

Assignments: 20% (4% each)

Assignment 1: May 24

Assignment 2: June 7

Assignment 3: June 21

Assignment 4: July 5

Assignment 5: July 19

Midterm 18% June 14

Labs (6) 24%

Final exam 38%

LAB SAFETY:

Students are expected to demonstrate awareness of, and personal accountability for, safe laboratory conduct. Appropriate personal protective equipment (PPE) must be worn (e.g. steel-toed shoes, safety glasses, etc.) and safe work practices must be followed as indicated for individual laboratories, materials, and equipment. Students will immediately report any concerns regarding safety to the teaching assistant, staff technologist, and professor.

ACADEMIC INTEGRITY AND PROFESSIONAL CONDUCT:

Students are expected to conduct themselves in all aspects of the course at the highest level of academic integrity. Any student found to commit academic misconduct will be dealt with according to the Faculty and University practices. More information is available at https://www.mun.ca/engineering/undergrad/academicintegrity.php Students are encouraged to consult the Faculty of Engineering and Applied Science Student Code of Conduct at https://www.mun.ca/engineering/undergrad/policies/CodeOfConduct.pdf and Memorial University’s Code of Student Conduct at https://www.mun.ca/engineering/undergraduate/undergraduate-policies/engineering-student-code-of-conduct/ . Individual work is expected of each student. Even if students work in groups, or discuss with others, assignments and reports should be independently prepared.

INCLUSION AND EQUITY

Students who require physical or academic accommodations are encouraged to speak privately to the instructor so that appropriate arrangements can be made to ensure your full participation in the course. All conversations will remain confidential. The university experience is enriched by the diversity of viewpoints, values, and backgrounds that each class participant possesses. In order for this course to encourage as much insightful and comprehensive discussion among class participants as possible, there is an expectation that dialogue will be collegial and respectful across disciplinary, cultural, and personal boundaries.

STUDENT ASSISTANCE: Student Affairs and Services offers help and support in a variety of areas, both academic and personal. More information can be found at https://www.mun.ca/student/

ADDITIONAL INFORMATION:

Safety is of paramount importance in all our activities. Please note safety/fire exits on the first floor.