The subject "Modeling and Simulation of Systems" is an elective course within the Bachelor's Degree in Industrial Electronic Engineering and Automation. It is part of the TEEOI - Industrial Electronics module. In this course, students learn to model and simulate basic dynamic systems using computer tools applied in engineering. Being an elective subject, the work carried out in this course represents an intensification of other subjects studied during the degree, such as Automatic Control.



To develop "Modeling and Simulation of Systems" without excessive difficulty, a basic command of matrix calculus and differential equation solving is required, along with knowledge of the fundamental physics of engineering and automatic control. All these prerequisites have been covered in the mandatory subjects of the degree.

[C1] Understand the concepts of modeling and simulation as a tool for analyzing the behavior of a physical system.

[C2] Model basic dynamic systems using mathematical and graphical representations.

[C3] Learn to use software tools for modeling and simulation of systems.

[C4] Simulate and analyze modeled dynamic systems using software tools.

THEORETICAL CONTENT

1 INTRODUCTION

Introduction to Simulation and Systems Modeling concepts. Classification of systems, importance of dynamic systems, linear and nonlinear systems.







2 MODELING OF LINEAR SYSTEMS

Study and modeling of different dynamic systems: Mechanical systems of translation and rotation, electrical systems, thermal systems, electromechanical systems, hydraulic systems, ...



3 MATHEMATICAL REPRESENTATION OF LINEAR MODELS

Study of different system representations and characteristics of models in each representation: input-output differential equation, state variables, and transfer function.



4 GRAPHICAL REPRESENTATION OF MODELS

Study of different graphical representations of models and transformations between them.



PRACTICAL CONTENT



CLASSROOM PRACTICES

- Classroom Practice 01 - Symbolic Calculation

- Classroom Practice 02 - Mass-Spring-Damper System

- Classroom Practice 03 - Introduction to Simulink: Tank

- Classroom Practice 04 - Linearization: Heater (Simulink)

- Classroom Practice 05 - MATLAB-ThingSpeak-Cloud

- Classroom Practice 06 - Solving Differential Equations



LABORATORY PRACTICES

- Laboratory Practice 01 - Introduction to MATLAB

- Laboratory Practice 02 - Matrices and Vectors

- Laboratory Practice 03 - Data Types and Operators

- Laboratory Practice 04 - Complex Data Types

- Laboratory Practice 05 - Graphics in MATLAB

- Laboratory Practice 06 - MATLAB Programming

- Laboratory Practice 07 - Data Read-Write

- Laboratory Practice 08 - MATLAB-Simulink Integration

- Laboratory Practice 09 - Ball-Beam System



Matlab and Simulink are used as software for the practices.

Lectures: Master classes will cover the necessary concepts to achieve learning objectives, while also serving as a tool to facilitate debate and generate student curiosity.

Classroom Practices: These sessions will be used for conducting exercises, solving problems, and presenting assignments, fostering active student participation throughout.

Laboratory Practices: Lab sessions will provide practical verification of acquired knowledge through the use of software tools for modeling and simulation.

• Final Assessment System
• Tools and qualification percentages:
  • Written test to be taken (%): 60
  • Realization of Practical Work (exercises, cases or problems) (%): 20
  • Individual works (%): 10
  • Team projects (problem solving, project design)) (%): 10

The course has established a method of continuous assessment, making class attendance necessary.



To pass the subject it will be necessary to obtain more than a 4 on the exam and have completed the practices satisfactorily.



Failure to attend the written exam will result in a "no show" grade.



Students have the right to be evaluated through the final assessment, regardless of participation in the continuous assessment. To do this, students must submit in writing to the faculty a waiver of continuous assessment, within a deadline of 9 weeks from the start of the semester or academic year, according to the academic calendar of the institution.



The final evaluation will consist of:

• a written exam (60%)

• a practical exam in the laboratory (40%) covering the concepts taught during lab sessions and classroom practices.

In the extraordinary exam session, there will be a single final assessment that comprises 100% of the course: a written exam (60%) and a practical exam in the laboratory (40%), covering the concepts learned during laboratory sessions.



Students who have taken the course in the current academic year may maintain the weighting of their results from the course, in which case the evaluation will be similar to that of the ordinary exam session.

Power Point presentation and notes of the subject (practice scripts, exercises, auxiliary documents).

Basic bibliography

"Ingeniería de Control Moderna", 4ª Edición, Katsuhiko Ogata, Pearson. Prentice Hall (2003)

"Problemas de Regulación Automática" Arancil, R. y Albertos, P. Universidad Politécnica de Madrid.

"Control de Sistemas Continuos. Problemas Resultos" Barrientos, A., Sanz, R., Matía, F., y Gambao, E. Ed. McGraw-Hill.

In-depth bibliography

"Sistemas de Control Moderno", 10ª Edición, Richard C. Dorf, Pearson. Prentice Hall (2005)
"Sistemas de Control Automático", 7ª Edición, Benjamin C. Kuo, Pearson. Prentice Hall (2005)
"Problemas de Ingeniería de Control utilizando Matlab", Katsuhiko Ogata, Pearson. Prentice Hall
"Sistemas de Control en Tiempo Discreto", 2ª Edición, Katsuhiko Ogata, Pearson. Prentice Hall

Journals

-Automatica.
-International Journal of Control
-IEEE Transactions on Automatic Control
-IEEE Control Systems Magazine (divulgación)

Web addresses

http://www.ieeecss.org/
http://www.ifac-control.org/
http://www.cea-ifac.es
http://www.isa.org/
http://www.esi2.us.es/~euca/