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Automazione Industriale (INF)
INDUSTRIAL AUTOMATION
Silvia Maria Zanoli

Seat Ingegneria
A.A. 2016/2017
Credits 9
Hours 72
Period I
Language ENG

Prerequisites
Elements of linear algebra, Rudiments of linear matricial algebra., elements of mathematical analysis.

Learning outcomes
KNOWLEDGE AND UNDERSTANDING:
The course aims to illustrate the main elements of an automated industrial production system and provide them with the knowledge on the main modeling and control of automated production systems considered as discrete event systems (DES). Moreover, in the course, the student will become familiar with the equipment typically used for controlling discrete event systems (the logic controllers, or PLCs) and their use.
CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
Tthe student will know how to address the problem of modeling a system starting from the description of its functional properties, enlightening, documenting and explaining deisgn choices. Furthermore, he will be able to apply the learned knowledge for the realization of specific control functions in a lab-scale production line.
TRANSVERSAL SKILLS:
The activities of design and implementation of a control system on a lab-scale production line to be carried out in groups and which will end with the drafting of a report, will help improve the degree of independence of judgment in general, together with the ability of communication which derives from group activities; in addition the student’s learner autonomy and his/her capability of drawing conclusions will be stimulated; finally, the student will improve his/he skill on writing of technical reports.

Program
Concepts of production systems and production processes. Automation production systems and their classification. Production equipment. Process and manufacturing productions automation. Flexibility of the manufacturing systems: general elements. Principal performance indexes. DCS systems Parte prima: Introduzione all'automazione Industriale. Concetti generali della produzione industriale: sistemi di automazione della produzione e loro classificazione. Automazione delle produzioni di processo e automazione delle produzioni manifatturiere. Flessibilità dei sistemi manifatturieri: elementi generali. Principali indici di prestazione. Attrezzature di produzione. PLC. Sistemi DCS.

Development of the examination
LEARNING EVALUATION METHODS
The assessment of student learning consists of two tests to evaluate the theoretical skills (written test and oral test) and a practical test of the design and implementation of a control system on a time scale manufacturing system aiming at verifying the ability to apply the concepts learned. It 's possible to take the written test in two partial tests by dividing the topics of the course. The written test is in preparation for the oral exam. The oral examination must be supported in the same examination session of the written test. In case of failure of the oral exam, the student must also repeat the written test.

LEARNING EVALUATION CRITERIA
The evaluation the learning takes into account the results of verification tests / learning measurements and skills acquired and the ability to overcome any deficiency encountered by the results of the tests.

LEARNING MEASUREMENT CRITERIA
The measure of the learning by means of written test is intended to test the modeling ability of discrete event systems and verify the capability of using of the analysis and synthesis tools for such systems. To perform the written test a time limit is given. The written test is in preparation for the oral exam. The measure the learning through oral test is designed to test comprehension of the topics covered in the course deepening both the theoretical aspects and the practical applications. The measurement of learning by the design activity is intended to test the student with problems that arise from the implementation on real systems.

FINAL MARK ALLOCATION CRITERIA
In order to pass the exam with the minimum score,equal to eighteen, the student must have sufficient knowledge of all the topics of the course. Additional points will be awarded by demonstrating in-depth knowledge of the content of the course in the written and oral tests together with good autonomy in setting and solving proposed problems. The "lode" is given to students who, having done all the tests correctly and completetly, have demonstrated a particular brilliance in the oral and in the preparation of written assignments and in the design activity.

Recommended reading
Lecture notes. For further readings the following texts are recommended: Proth Xie, “Petri Nets: a tool for Design and Management of Manufacturing Systems”, Wiley Moody J.O., Antsaklis P. J., Supervisory Control of Discrete Event Systems Using Petri Nets Kluwer Academic Publishers GianAntonio Magnani. Tecnologie dei sistemi di Controllo, Mc Graw Hill Cassandras- La Fortune, “Introduction to Discrete Event Systems” Kluwer Academic Publishers L. Ferrarini “Automazione Industriale: controllo logico con reti di Petri”. Pitagora Editrice – Bologna Angela Di Febbraro, Alessandro Giua Sistemi ad eventi discreti, Mc Graw Hill

Courses

• Ingegneria Informatica e dell'Automazione (Corso di Laurea Triennale (DM 270/04))