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Master's Degree in Industry Engineering
MINGIND2-C-003
Automation and Control Systems
General description and schedule Teaching Guide

Coordinator/s:

Diego Álvarez Prieto
dalvarezuniovi.es

Faculty:

Ángel Navarro Rodríguez
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(English Group)
ABEL ALBERTO CUADRADO VEGA
cuadradoabeluniovi.es
Felipe Mateos Martín
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Hilario López García
hilariouniovi.es
Diego Álvarez Prieto
dalvarezuniovi.es
Borja Millan Prior
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JAVIER MENDIOLAGOITIA JULIANA-
JOSE ANTONIO CANCELAS CASO
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Francisco Javier González González
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Diego García Pérez
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(English Group)
Miguel Crespo Iglesias
crespomiguel.uouniovi.es
Sara Roos-Hoefgeest Toribio
roossarauniovi.es

Contextualization:

This is a common subject to the industrial branch (2º course, 2º term), being theoretical and practical, which is included in the areas of electricity, electronics, automatic. It is intended to:

  1. To provide students with basic knowledge about the usefulness of automatic control systems and their applications in industry and consumer products.
  2. To know the tools available to analyze mathematically the behavior of a system in time domain and frequency, and the effects of feedback on it.
  3. To understand the requirements to be met by a system of control, and basic control structures that can lead to achieve it.
  4. To know the elements that form part of the instrumentation control and automation of industrial processes.
  5. To understand the most common operation of industrial control devices and to perform simple applications in those.

 

Requirements:

It is recommended to have basic knowledge on Linear Algebra, Differential and Integral Calculus, Numerical Methods, Chemistry, Graphic Expression, Mechanics and Thermodynamics, Waves and Electromagnetism and Computer Basics.

Competences and learning results:

This subject supoorts/provides competencies CG1, CG3, CG4, CG5, CG6, CG7, CG8, CG11, CG12, CG13, CG14 and CC6(Knowledge about the fundamentals of automation and control methods)  according to the official grade verification document.

These competences are specified in the following learning outcomes:

RAU-1 To provide the students with basic knowledge about the usefulness of automatic control of systems and what are its applications in industry and products consumption.

RAU-2 To enable the student to mathematically describe and analyze the behavior of a system in time and frequency domain, using simulation tools.

RAU-3 To enable the student to perform tuning of regulators in simple control structures.

RAU-4 To understand and identify the elements involved in the instrumentation for control and automation of industrial processes and their functions.

RAU-5 To perform configuration and programming of simple applications in industrial control devices.

Contents:

The contents contained in the Verification Report are developed in more detail below, being structured on the following topics:

Theme 1. Introduction to automation and process control.

Theme 2. Automation: Introduction to automation. Equipment for automation. Normative. Grafcet diagrams. SFC and ST programming.

Theme 3. Modeling of systems: Signals and systems. Functional diagrams. Transfern functions. Block Diagrams. State-Space models. System linearization.

Theme 4. Linear system analysis. Stability. Eingenmodes. Analysis in the time domain.

Theme 5. Control of feedback systems: Control introduction. Steady state analysis in feedback systems. Root Locus. PID design in time domain. Digital implementation of controllers.

Theme 6. Frequency domain: Analysis in the frequency domain. Bode and polar diagrams. Time-frequency relations. Frequency response of feedback control systems. Control design in the frequency domain. 

Methodology and work plan:

 

Presential work

Themes

Lectures

Class practice

Laboratory

Group tutoring

Exams

Total

Theme 1

2

1

0

0

0

3

Theme 2

2

1

14

2

0.4

19.4

Theme 3

6

3

0

0

0.4

9.4

Theme 4

6

3

0

0

0.4

9.4

Theme 5

6

3

0

0

0.4

9.4

Theme 6 6 3 0 0 0.4 9.4

Total

28

14

14

2

2

60

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Exceptionally, if health conditions require it, non-attendance teaching activities may be included. In this case, students will be informed of the changes made.

Assessment of students learning:

 

The percentage weight of each evaluation section is as follows: 

Evaluation system

Learning results

Weight

Minimum grade

EV1

Lectures and practical classes

RAU1, RAU2, RAU3,

80%

4/10

EV3

EV4

Laboratory

RAU1, RAU4 y RAU5

20%

None

The evaluation of the course consists of two parts: the share of lectures and seminars with a weight of 80% in the final grade and the laboratory practices with a weight of 20% in the final grade. So the final score of the course will be the weighted sum of scores on both parts:  N = 0.8T +0.2 P, provided that the student obtains a minimum grade of 4 in the theoretical part. Otherwise, the grade will be no pass whatever the value of the numerical score. For numercal calification, it will be awarded to a maximum value of 4.

The practical part will be evaluated with a practical exam that will take part place during the last practical class (about end of April, beginning of May depending on the EPI schedule). The grade obtained in this exam will be considered for all the calls of the course (until the following January call).  Repeating students can resit the exam or request the convalidation of the last year grade at the beginning of the course.

The theoretical part will be evaluated by:

- Ordinary evaluation: 2 exams. First one, with a a weigth of 20% of the total grade, will take place at half term. A second exam will take place at the end of the course, with a weigth of 60% of the total grade.

The theoretical exams will consist of a written exercise and may include problems, theoretical issues, questions and multiple choice exercises, and questions and short answer exercises or numerical answer.

- Extraordinary evaluation (July and January): a single exam comprising all the themes. It will consist of a written exercise and may include problems, theoretical issues, questions and multiple choice exercises, and questions and short answer exercises or numerical answer.

Differentiated evaluation:

Students which must be evaluated according to a differentiated evaluation will do the same exams that the remaining students, but the assistence and participation in the lectures and laboratories will not be taken into account.

Exceptionally, if health conditions require it, non-presential evaluation methods may be included. In this case, the student body will be informed of the changes made.

Resources, bibliography and documentation:

Bibliography:

  • English: Feedback Control of Dynamic Systems. Gene F. Franklin et al. Pearson Education Limited. ISBN: 978-1292068909

  • Spanish: Control de sistemas dinámicos con retroalimentación. Gene F. Franklin et al. Addison-Wesley Publishing Company. ISBN: 978-0201644210

Related bibliography:

  • Sistemas de control moderno. Richard C. Dorf. Alhambra, Edición 10. ISBN: 978-8420544014

  • Ingeniería de Control Moderna. Katsuhiko Ogata. Pearson EducaciónSA. Prentice Hall. ISBN: 978-848322-660-5

  • Introducción a la Ingeniería de Control. Guillermo Ojea. Disponible en el campus virtual de la asignatura.

Resources:

CoDeSys will be used as a reference software for the practical classes.