Instrumentation and Process Control

Code:

EBE0029

Acronym:

CPIN

Keywords
Classification	Keyword
OFICIAL	Biological Engineering

Instance: 2011/2012 - 2S

Active?	Yes
Web Page:	Disponível na pagina da disciplina do SIFEUP
Responsible unit:	Department of Chemical and Biological Engineering
Course/CS Responsible:	Master in Bioengineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIB	25	Syllabus	3	-	5	42	135

Teaching language

Portuguese

Objectives

AIMS:
This course unit aims to provide students with knowledge about the dynamic behaviour of industrial processes, as well as the necessary theoretical and practical knowledge to design and operate process control systems:
Concepts of systems dynamics associated to the operation of industrial processes; Philosophies of processes control; Concepts of instrumentation associated to processes operation; Concepts of theory control of linear systems by negative feedback and anticipation; Design of control systems by negative feedback and anticipation-negative feedback; Design of data acquisition and computer control systems; Simulation and operation of processes controlled by the computer; Concepts about industrial design of distributed control systems.

LEARNING OUTCOMES:
I- Worth of each component (scientific and technological):
Scientific preparation (to establish and develop scientific bases) – 40%
Technological preparation (application to design and operation) – 60%

II- Specific learning outcomes:
After the completion of this course unit, students should:
- understand the necessity to study and to be familiar with the necessary methodologies in order to study the dynamic behaviour of processes;
- understand the main philosophies of process control;
- be familiar with industrial instrumentation;
- know how to tune controllers in negative feedback systems and anticipation systems;
- know how to simulate a control system;
- be familiar with topics of inferential control and adaptive control;
- understand the stages and actions in the design of a control system;

III- CDIO Learning Outcomes *
This course unit aims to develop the following CDIO learning outcomes:
Core engineering fundamental knowledge – dynamic and control
Advanced engineering fundamental knowledge – digital systems
2.1 Engineering reasoning and problem solving
2.3 Advanced engineering fundamental knowledge – definitions and system interaction
2.4 Personal skills and attitudes – critical thinking
3.1 Teamwork
3.2 Communication – written communication
4.3 Conceiving and engineering systems

* as described on www.cdio.org

III- Practical engineering skills
After the completion of this course unit, students should:
- be familiar with industrial instrumentation and systems of digital communication
- be capable of operating a control system

Program

1. Motivation; 2. Dynamic behaviour of systems; dynamic models; time domain solution and Laplace solution; concept of transfer function; system linearization; complex systems; identification; 3. Control of simple cycle processes by negative feedback: analysis of the dynamic behaviour of closed systems; 4. Industrial instrumentation and process control: sensors and industrial transmitters, controllers; Final control elements; 5. Dynamic behaviour of a closed cycle system: stability analysis; 6. Controllers design and tuning: criteria, rapid methods; 7. Control by anticipation: concepts and design 9. Complementary control methods: cascade control; inferential control; adaptive control

Mandatory literature

Seborg, Dale E.; Process dynamics and control. ISBN: 0-471-85933-8

Complementary Bibliography

Babatunde A. Ogunnaike, W. Harmon Ray; Process dynamics, modeling, and control. ISBN: 0-19-509119-1
Martins, Fernando Gomes; Prontuário MATLAB. ISBN: 972-752-064-2

Teaching methods and learning activities

Theoretical-practical classes will be based on the presentation and discussion of case studies.
Students will have to carry out group assignments.
Students will have the chance to use computer assisted learning programs of processes control.
They have to give a laboratory presentation on an equipment of a simple cycle control system.
Students will have information available on SIFEUP a total inveracity with the professors.
In order to carry out a self-assessment, students can use some exercises sheets, some of them solved, so that they can assess their knowledge. They can compare analytical solutions with results obtained using the computer with the use of simulation packages.

Software

Matlab

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	36,00
	Total:	-	0,00

Eligibility for exams

To be admitted to exams, students have to:
Attend theoretical-practical and practical classes (according to the rules), reach a minimum grade of 25% in each assignment and reach a minimum average grade of 40% in the assignments.
Students, who attended classes in the last two years, do not need to attend classes this year.

Calculation formula of final grade

See document on SIFEUP about the assessment.
Assessment components:
Assignments – P1 – average grade of the assignments - 30% of the final grade
Continuous Assessment – P2 - 10% of the final grade
Exam – P3 (70-P2)% of the final grade

To complete this course unit, students have to reach the following grades:
Final Grade: – CF20= (P1 + P2 + P3)/100*20 ≥ 9,5
Exam: ≥ 30%

Examinations or Special Assignments

Groups of two students have to do the following assignments:
Assignment 1 – Systems Dynamics
Assignment 2 – Instrumentation
Assignment 3 – Control
The assignment sheets will be roughly delivered two weeks before the deadline.
Additionally, groups of two students will have to give presentations on the themes of the course unit, followed by discussion.

Special assessment (TE, DA, ...)

An individual exam which cover all the themes of the course unit. It will be similar to the final exam; however the content will be different.

Classification improvement

An individual exam which cover all the themes of the course unit. It will be similar to the final exam; however the content will be different.

Observations

Students should have previous knowledge in mathematics and informatics, as well as in course units of Processes.

Previous knowledge:
ODE solutions using Laplace transform
Mathematical propaedeutic units
Numerical methods
Simulation of processes
Informatics
System dynamics
Processes modelling
Engineering sciences