OVERVIEW

The course describes and presents the contents and methodologies of automatic control theory, through simple concepts, easy to understand and assimilate, for the definition and analysis of dynamic models, directly correlated with experimental practice, with particular reference to applications for electrical energy systems.

AIMS AND CONTENT

LEARNING OUTCOMES

The course describes and presents the fundamental contents of the theory of automatic controls, developing in the student the ability to model a physical system through basic mathematical tools and providing the elements for the analysis and synthesis of control systems with attention to experimental practice and with particular reference to applications for electrical energy systems.

AIMS AND LEARNING OUTCOMES

The course describes and presents the fundamental contents of the theory of automatic controls, developing in the student the ability to model a physical system through basic mathematical tools and providing the elements for the analysis and synthesis of control systems with attention to experimental practice and with particular reference to applications for electrical energy systems.

The course aims to prepare the student for the formulation of dynamic mathematical models starting from the analysis of physical systems and their representation through block diagrams. The basic notions for the practical use of transforms for linear systems will be introduced; the tools for analyzing the behavior of systems and for the synthesis of control systems through the frequency response characteristics and with the use of the root site. The criteria for the use of correction networks and the synthesis of controllers will be identified and applied based on the performance required of the system.

PREREQUISITES

basic knowledges in Electrotechniques. Concepts in mathematics. Capability to understand the functionality of elementary physics systems.

TEACHING METHODS

The course includes theoretical lessons (52 hours) and exercises on the blackboard and / or in the laboratory (8 hours). In the tutorials, tools such as MATLAB, Simulink and related Control System Toolboxes will be illustrated and used.

SYLLABUS/CONTENT

1. Introduction and fundamentals. 2. Description with block diagrams of physical systems and formulation of dynamic models starting from differential equations. 3. Tools for the dynamic analysis of elementary linear systems in open and closed chain. 4. Stability. 5. Dynamic analysis through the frequency response characteristics. 6. The method of the place of roots. 7. Summary criteria of control systems: Fundamental requirements. Correction networks. Mixed “forward” and feedback control. Compensation of disturbances. 8. Non-interaction conditions for the control of several variables.

Contribution to the Sustainable Development Goals of the United Nations 2030 Agenda:

• Goal 7. Ensure access to affordable, reliable, sustainable and modern energy systems for all.
• Goal 9. Build a resilient infrastructure and promote innovation and equitable, responsible and sustainable industrialization.
• Goal 12. Ensure sustainable production and consumption patterns.
   

RECOMMENDED READING/BIBLIOGRAPHY

1. Lecture notes F. Saccomanno "Elementary theory of automatic controls", distributed by the teacher of the course

2. G. Marro: "Automatic Controls", Ed. Zanichelli, Bologna

3. International texts suggested for the different topics.

4. didactic material distributed by the course teacher. The pdf notes as prepared by the teacher during the lesson will be also made avilable

TEACHERS AND EXAM BOARD

Exam Board

STEFANO MASSUCCO (President)

FRANCESCO CONTE

MARCO INVERNIZZI

MATTEO SAVIOZZI

FEDERICO SILVESTRO

MARIO MARCHESONI (President Substitute)

LESSONS

LESSONS START

https://corsi.unige.it/8716/p/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral examination lasting about 30-40 minutes.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Federico Scarpa (federico.scarpa@unige.it ), the School's disability liaison.

ASSESSMENT METHODS

Oral exam, consisting of two parts (each lasting about 20 minutes) with two different examiners aimed at ascertaining the understanding of the topics of the course and the ability to elaborate a simple example of analysis and synthesis of a physical system and its control .

Exam schedule