IDENTIFYING DATA 2023_24
Subject (*) CONTROL AND INSTRUMENTATION Code 20204105
Study programme
Bachelor's Degree in Chemical Engineering (2010)
 Cycle 1st & 2nd
Descriptors Credits Type Year Period
6 Compulsory Third 1Q
Language
Català
Department Chemical Engineering
Coordinator
GIRALT MARCÉ, JAUME
MASIP VERNIS, LLUIS
 E-mail josep.bonet@urv.cat
jaume.giralt@urv.cat
lluis.masip@urv.cat
manuel.ruiz@urv.cat
Lecturers
BONET AVALOS, JOSÉ
GIRALT MARCÉ, JAUME
MASIP VERNIS, LLUIS
RUIZ BOTELLA, MANUEL
Web http://moodle.urv.cat
General description and relevant information <div><div>GENERAL DESCRIPTION OF THE COURSE</div><div><br /></div><div>To introduce students to the classical control theory of Chemical Processes and to ensure that students have a basic understanding of the most common configurations used to control the operation of the main unit operations.</div></div><div><br /></div>

Competences
Type A Code Competences Specific
 A1.1 Consistently apply knowledge of basic, scientific and technological subjects pertaining to engineering
 A1.2 Design, execute and analyse experiments related to engineering
 A4.6 Knowledge of the fundamentals of automation technology and control methods (RI6)
 A5.2 Ability to analyse, design, simulate and optimise processes and products (QI2)
Type B Code Competences Transversal
 B1.1 Communicate information clearly and accurately to diverse audiences (CT5)
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A1.1 Aplica correctament els fonaments d'automatismes i mètodes de control.
 A1.2 Comprova a través de l'experimentació i treball en grup en el laboratori els fonaments teòrics explicats a l'aula.
 A4.6 Modelitza un procés químic senzill que relaciona els canvis en les variables de sortida d'un procés amb els canvis en les entrades
Prediu (simula) el funcionament d'un procés
Estableix una estratègia de control adequada en un equip determinat atenent a la seva integració en el procés global
Destria la combinació optima de variables controlables i manipulables
Redueix les interaccions entre llaços de control
Analitza els llaços de control proposats per determinar la seva robustesa
Ajusta els paràmetres dels controladors de forma analítica
Comprèn el funcionament dels equips d'instrumentació
S'inicia en el control digital de processos
 A5.2 Determina paràmetres d'ajust de controladors.
Type B Code Learning outcomes
 B1.1 Plan their communications: generate ideas, search for information, select and order the information, make schemes, determine the type of audience and the objectives of the communication, etc.
Draft documents with the appropriate format, content, structure, language accuracy and register, and illustrate concepts using the appropriate conventions: formats, titles, footnotes, captions, etc.
Type C Code Learning outcomes

Contents
Topic Sub-topic
INTRODUCTION Objectives and introduction to the course. Bibliography. Incentives to control a chemical process. Classification of process variables. Elements in the design of a control system.
MODELING and SIMULATION Development of mathematical models for control purposes. Linearization of non-linear systems. Analytical, numerical and Laplace transform solutions.
ANALYSIS OF THE DYNAMIC BEHAVIOR OF CHEMICAL PROCESSES Block diagrams. Transfer functions. Dynamic behavior of first and second order systems.
Introduction to feedback control systems. Dynamic behavior of processes with feedback control. Process stability. Stability analysis for time series (Routh-Huirtwitz and Root locus Algorithms) and frequency analysis (Bode and Nyquist Algorithms).
INSTRUMENTATION OF INDUSTRIAL PROCESSES Acquisition of process data and its treatment. Meters and types of meters used in process control. Signals used and signal transmitters. Final control elements.
DESIGN OF FEEDBACK CONTROL SYSTEMS Identification of processes. Controller design and tuning. Empirical models and mathematical methods based on the response of the process. Control loop optimization.
Alternatives to the basic control loop. Dead time compensation control and inverse response, selection and auctioneering control. Cascade control and inferential control. Split range control. Feed Forward control and ratio control.
CONTROL OF INDUSTRIAL PLANTS Integration of individual control loops in the plant's control system. Interaction and decoupling of control loops. Bristol method. Typical control configurations of different operations used in the chemical industry (heat exchangers, reactors, columns, etc.).

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
 Hours outside the classroom
 (**) Total hours
Introductory activities
1 1 2
Lecture
A1.1
A4.6
 22.5 38 60.5
Problem solving, exercises in the classroom
A1.1
A1.2
A4.6
A5.2
B1.1
 15 30 45
Laboratory practicals
A1.1
A1.2
A4.6
A5.2
B1.1
 13 24.5 37.5
Personal attention
0.5 0.5 1
 
Short-answer objective tests
A1.1
A1.2
A4.6
A5.2
B1.1
 4 0 4
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Activities aimed at contacting and collecting information from the students and presentation of the subject.
Lecture Presentation of the contents of the subject.
Problem solving, exercises in the classroom Formulation, analysis, resolution and discussion of a problem or exercise, related to the subject matter.
Laboratory practicals Apply, at a practical level, the theory of an area of knowledge in a specific context. Practical exercises through the different laboratories.
Personal attention Resolution of queries and doubts individually for each student in the teacher's office.

Personalized attention
Description

Attend to students individually in order to guide them in the acquisition of technical knowledge and social skills. Inquiries are usually made during scheduled visits during office hours in the teacher's office. The schedule and the location will be communicated in due course through Moodle. Although it is not necessary to notify in advance, it is advisable to make an appointment by email.

Assessment
Methodologies Competences Description Weight        
Problem solving, exercises in the classroom
A1.1
A1.2
A4.6
A5.2
B1.1
 Practical tests in the classroom

Tests that include activities, problems or cases to be solved.
A weekly problem class activity will be proposed that will be handed in for correction and evaluation.
 10%
Laboratory practicals
A1.1
A1.2
A4.6
A5.2
B1.1
 Practical laboratory tests

Tests that include activities carried out in the laboratory or cases to be solved.
The student will hand in a report for practice completed and this will be corrected and evaluated.
At the end of the teaching period of the subject, an individual exam will be held.
 20%
Short-answer objective tests
A1.1
A1.2
A4.6
A5.2
B1.1
 Objective tests of short questions

There will be TWO face-to-face assessment tests that include direct questions about a specific aspect.
The student must answer in a direct and reasoned way using the knowledge he has about the subject.
Each of the tests has a weight of 35% on the final mark of the subject.
 70%
Others  
 
Other comments and second exam session

Under no circumstances will the use or possession of communication and data transmission devices be allowed during the tests.

Completion of the laboratory practices and exercises in the classroom is an INDISPENSABLE REQUIREMENT in order to be evaluated in either of the two calls for the subject.

In the call for continuous assessment, an average score of 4.0 points out of 10.0 must be achieved between the two objective tests of short questions in order to be able to weight the final grade as specified in the previous table.

The second call envisages the completion of a single total and comprehensive evaluation test of the different concepts included in the content of the subject. The evaluation of this test will replace the result of the two face-to-face evaluation tests and the evaluation obtained in the activities of "Problem solving, exercises in the ordinary classroom" and "Laboratory practices" will be maintained. As in the case of the continuous assessment, it is also necessary to achieve an average score of 4.0 points out of 10.0 in this assessment test in order to be able to weight the final grade as specified in the previous table. Completing the laboratory practices is an essential requirement to be evaluated in the second call.

Sources of information

Basic Stephanopoullos, G., Chemical process Control. An Introduction to Theory and Practice , Prentice Hall Inc.,, 1984
Dale E. Seborg, Duncan A. Mellichamp, Thomas F. Edgar , Francis J. Doyle III , Process Dynamics and Control, John Wiley & Sons Ltd, 2004

Complementary Carlos A. Smith, Armando B. Corripio, Principles and Practices of Automatic Process Control , Wiley, 2005
Terry L. M. Bartelt, Instrumentation and Process Control , Delmar Cengage Learning , 2006
Wolfgang Altmann, Practical Process Control for Engineers and Technicians , Newnes , 2005
Pao C. Chau, Process Control: A First Course with MATLAB, Cambridge University Press, 2002
, Standarts & Recommended Practices for Instrumentation & Control. I.S.A , ,
Frank Allgower , Advanced Control of Chemical Processes , ELSEVIER, 2004

Recommendations

Subjects that are recommended to be taken simultaneously
SIMULATION AND ANALYSIS OF CHEMICAL PROCESSES/20204118
UNIT OPERATIONS LABORATORY/20204121
DESIGN OF SEPARATION OPERATIONS/20204122

Subjects that it is recommended to have taken before
FUNDAMENTALS OF PROCESS ENGINEERING/20204116
COMPUTING IN PROCESS ENGINEERING/20204002
CHEMICAL PROCESSES AND PRODUCTS/20204117
MATHEMATICS II/20204006
MATHEMATICS I/20204005
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.