The subject Automatic Regulation aims at the modeling, analysis and design of control systems. The autonomous operation of industrial systems and processes is studied, so that they function in a pre-established manner with hardly any human intervention. This subject also introduces the student to Systems Theory, thereby giving them a systemic vision of the world, of great interest for the study of many subjects.



PREVIOUS REQUIREMENTS



In order to follow the subject it is necessary to have basic knowledge of Linear Algebra (vector spaces, matrices, etc.), Calculus (sequences, derivatives, integrals, differential equations, etc.) and Physics (fundamental laws of mechanics, electricity, etc.). ).

Basic skills

The Automatic Regulation subject will promote the skills to:

-Ability to analyze and synthesize systems.

-Organization and planning capacity.

-Improvement of basic computer skills.

-Problem solving, decision making, creativity, critical reasoning.

-Ability to apply knowledge in practical cases.

-Search for information and bibliographic resources.



Specific competencies

-Fundamentals of control systems

-Know the main elements of control systems

-Recognize the different types of systems

-Understand the operation of the control system.

-Ability to model systems



Learning outcomes



At the end of the course the student should be able to describe control systems in general and in different applications, make mathematical models of physical systems, apply all of this to engineering problems and solve the practical cases proposed during the course and other similar ones. The proposed activities correspond to each of the parts of the contents:

(1) Systems modeling, (2) Systems analysis, (3) Control system design, (4) Resolution of control problems through computational tools

1. Systems modeling

External and internal models of a control system. Models based on Differential Equations. Laplace transform. Transfer Function of a system. Open loop and closed loop control systems. Feedback. Intuitive concept of feedback and its properties. Components of a feedback system. Blocks diagram.



2. Analysis of control systems

Analysis over time. Test signs. Response from the external model. First order systems. Second order systems. Response from the internal model.

Stability concept. Absolute and relative stability. Characteristic equation. Routh-Hurwitz criterion

Steady state of feedback systems. Analysis of the response in steady state. Steady state error. Static error coefficients. Classification of control systems. Response to external disturbances. Controllability, observability and stability. Controllability and observability in the internal model. Feedback effects. Concept of sensitivity. Sensitivity to parameter variations. Frequency analysis. Bode plot. Minimum phase systems. Stability. Frequency stability. Gain margin and phase margin. Relationship with the time domain.



3. Synthesis of control systems

Process control structures. Types of controllers. PID controllers. Specifications in time and frequency. Design based on the place of roots. Classic design methods. Design based on feedback

frequency. Relationship of the transfer function with the frequency response. Relationship between time response and frequency response. Modern design methods. Pole assignment method. Simulation. Simulation of control systems. PID controller tuning methods.



4.- Digital Control: The Computer as a basic element of Control.

The Application of the Discretization of a PID for Classroom Temperature Control will be carried out: analog PID discretization, discrete PID programming, and study of the implementation in a low-cost microcontroller contributing to sustainability in energy savings and comfort thermal at the Vitoria-Gasteiz School of Engineering.



5. Laboratory Practices

In the laboratory a set of practices will be carried out based on the use of Matlab. Each practice will present several exercises that develop the concepts and methods explained in the theory class.

PRACTICE 1: INTRODUCTION TO MATLAB

PRACTICE 2: MODELING

PRACTICE 3: TEMPORARY RESPONSE

PRACTICE 4: FREQUENCY ANALYSIS

PRACTICE 5: INTRODUCTION TO SIMULINK

PRACTICE 6: STEADY STATE

PRACTICE 7: SENSITIVITY, CONTROLLABILITY AND OBSERVABILITY

PRACTICE 8: CONTROLLER DESIGN IN THE TIME DOMAIN

PRACTICE 9: CONTROLLER DESIGN USING PID Tuner App and Control System Designer App

PRACTICE 10: DIGITAL CONTROLLERS

The theory classes will be developed with the support of the classroom computer to present the theoretical and practical contents of the subject.



Student participation in class will be carried out through questions and dialogue directed by the teacher about the subject taught and with multiple-choice question questionnaires about the subject taught accessible in eGela. The realization of problems from the theoretical syllabus will also be proposed in eGela.



The practices will be developed in the laboratory using the Matlab computing tool. The student will perform the exercises proposed in each laboratory practice and will deliver a report on the practice in eGela.



Any student may opt out of taking a specific exam as long as he or she requests it from the teacher at least 15 days in advance of the evaluation date.

• Continuous Assessment System
• Final Assessment System
• Tools and qualification percentages:
  • Multiple-Choice Test (%): 30
  • Realization of Practical Work (exercises, cases or problems) (%): 40
  • Team projects (problem solving, project design)) (%): 20
  • Exhibition of works, readings ... (%): 10

A. CONTINUOUS EVALUATION of tasks:



1. Individual or team work on problem solving (20%)



2. Exams - Test Type Tests (30%)



3. Portfolio (in eGela) of laboratory practices (40%).



4. Presentation of laboratory practices (10%)



Note: (relative to Continuous Evaluation)



Students will be graded as no-show if they have not completed 80% of the total assigned tasks.



ALTERNATIVE FINAL EXAM B. (100%)



The alternative final exam may include two parts, a written part with some questions and problems related to the course syllabus (the completion of a task with theory exercises, and the completion of a questionnaire with

multiple choice questions on the course syllabus) and another part in the laboratory where students must solve some practical exercises (after delivery of the reports of 10 Laboratory practices).



"In the event that an in-person evaluation of the subject cannot be carried out, the pertinent changes will be made to carry out an online evaluation using the existing computer tools at the UPV/EHU. The characteristics of this online evaluation line will be published in the student guides and in eGela"



C. RESIGNATION PROCEDURE



Students automatically report to the exam when they do not complete 55% of the total proposed tasks on time. If these students want to pass the course, they must take the alternative final exam.



All students can opt out of taking the final exam by notifying the professor at least 15 days in advance.

EXTRAORDINARY FINAL EXAM (100%)



The extraordinary final exam may include two parts, a written part with some questions and problems related to the course syllabus (the completion of a task with theory exercises, and the completion of a questionnaire with multiple choice questions about the course syllabus) and another part in the laboratory where students must solve some practical exercises (after delivery of the reports of 10 Laboratory practices).



"In the event that an in-person evaluation of the subject cannot be carried out, the pertinent changes will be made to carry out an online evaluation using the existing computer tools at the UPV/EHU. The characteristics of this online evaluation line will be published in the student guides and in eGela"



Students may waive the regular exam to take the final exam, but must notify the teacher at least 15 days in advance.

Software:

Matlab y AnyLogic

Basic bibliography

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



"Sistemas de Control Moderno", 10ª Edición, Richard C. Dorf, Pearson.Prentice Hall (2005)

In-depth bibliography

"Sistemas de Control Automático", 7ª Edición, Benjamin C. Kuo, Pearson.Prentice Hall (2005)

"Sistemas de Control en Ingeniería", Paul H. Lewis, Chang Yang, Prentice Hall (1999)

Journals

Automática (Elsevier)


Control System Magazine (IEEE)

Web addresses

http://ib.cnea.gov.ar/~control2/Links/Tutorial_Matlab_esp/index.html

O en su versión original (en inglés):

http://www.engin.umich.edu/group/ctm/