Go to:
Logótipo
You are here: Start > EQ405

Control and Instrumentation

Code: EQ405     Acronym: IC

Instance: 2005/2006 - 2S

Active? Yes
Web Page: http://www.fe.up.pt/~sfeyo/ic
Responsible unit: Department of Chemical and Biological Engineering
Course/CS Responsible: Chemical Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
LEQ 105 Plano Oficial EQ a partir 2003 4 3,5 6 -

Teaching language

Portuguese

Objectives

This Unit aims at giving the students the necessary theory and practice for the design and operation of process control systems. This means:
Process control philosophies; Concepts about process control instrumentation; Concepts of theory and design feedback, feedforward and combined feedback-feedforward linear control systems; concepts of computer-aided process operation; ability for simulation of process operation; concepts of inferential and adaptive control; Plant automation design: phases and P&I diagrams

Program

1. Motivation and Methods; overview of the theory and practice of process control 2. Process dynamics (review); 3. Industrial instrumentation; 4. Feedback control: analysis of a control loop; Closed-loop behaviour; 5. Elements of system stability; 6. Controller design and tuning: criteria; model based methods; experimental methods; 7. Feedforward control: concepts and design; 8. Enhanced control strategies: cascade control; inferential monitoring and control; introduction to adaptive control; 9. Computer-aided process operation – concepts; structure of a digital control system; data acquisition and control by computer; analysis if discrete systems; digital controller design; 10. Distributed control systems – architectures; communications; 11. Plant automation: phasing and planning; P&I diagrams; main process variables; operation problems; system maintenance

Mandatory literature

Seborg, D. E., Edgar, T. F. and Mellichamp, D. A.; Process Dynamics and Control, 2004. ISBN: 0-471-45246-7

Complementary Bibliography

R. Oliveira, P. Georgieva and S. Feyo de Azevedo; Instrumentation and Process Control I - Instrumentation, Encyclopedia of Dairy Sciences, p. 1392-1401, Academic Press, UK, 2002
S. Feyo de Azevedo, F. Oliveira and A. Capelo Cardoso; TEACON - A Simulator fpr Computer-aided Teaching of Process Control, Comp. Applic. in Engng. Education, Vol 1 307-319, 1994
Ogunnaike, Babatunde A.; Process dynamics, modeling, and control. ISBN: 0-19-509119-1
Martins, F. G..; Prontuário do MATLAB, FEUP Edições, 2003
Artigos e Catálogos Técnicos a fornecer
P. Georgieva, R. Oliveira and S. Feyo de Azevedo; P. Georgieva, R. Oliveira and S. Feyo de Azevedo; Instrumentation and Process Control II-Process Control, Encyclopedia of Dairy Sciences, p. 1401-1410, Academic Press, UK, 2002

Teaching methods and learning activities

Lectures and tutorials; use of software packages for computer-aided learning; co-ordination with laboratory classes for experimental teaching; support to teaching/learning through the subject web site.

Software

Matlab, Simulink, Toolbox de controlo, TEACON

keywords

Technological sciences > Engineering > Process engineering > Process control

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description Type Time (hours) Weight (%) End date
Subject Classes Participação presencial 52,00
Exame 3,00
Trabalho escrito 5,00 2006-05-19
Total: - 0,00

Eligibility for exams

Homework (25% of final classification)

Calculation formula of final grade

Final mark as the combination of partial marks for Classroom Work + HomeWork + Final Examination Paper

Observations

1. Acquisition of specific competences
- After this module the student is expected to:
- Understand the different control philosophies
- Know industrial instrumentation
- Know how to choose industrial control equipment
- Know how to tune feedback and feedforward control systems
- Understand and know how to choose and programme computer control systems and have knowledge of industrial instrumentation
- Be able to simulate control systems
- Understand inferential and adaptive control
- Be able to participate in the design of an industrial distributed control system

2. CDIO competences
1.2. Core engineering fundamental knowledge - control
1.3. Advanced engineering fundamental knowledge – digital systems
2.1. Engineering reasoning and problem solving
2.3. System thinking – definition and system interaction
2.4. Personal skills and attitudes – critical thinking
3.1. Teamwork
3.2. Communications – written and multimedia communication
4.3. Conceiving an engineering system
Recommend this page Top
Copyright 1996-2024 © Faculdade de Engenharia da Universidade do Porto  I Terms and Conditions  I Accessibility  I Index A-Z  I Guest Book
Page generated on: 2024-11-04 at 23:21:05 | Acceptable Use Policy | Data Protection Policy | Complaint Portal