CONTROL SYSTEMS FOR INDUSTRIAL AUTOMATION
cod. 1008715

Academic year 2024/25
2° year of course - Second semester
Professor
Luca CONSOLINI
Academic discipline
Automatica (ING-INF/04)
Field
Attività formative affini o integrative
Type of training activity
Related/supplementary
48 hours
of face-to-face activities
6 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

- Understanding of the two principles of active control, feedforward and feedback, and of the broad applications to automation.
- Understanding of the methods, based on Laplace and Zeta transforms, to determine the time-evolution of linear scalar dynamic systems.
- Knowledge of harmonic analysis and of the stability theory for linear systems.
- Knowledge of the main methods of analysis and synthesis for feedback control systems.
In relation to the ability to apply knowledge and understanding, the aims are:
- Skill to analyze feedback control systems.
- Skill to set up and solve simple problems of regulation and control with a single controlled variable.

Prerequisites

Basic elements of mathematical analysis and physics

Course unit content

Dynamic systems modelling. [2 hours]
Linear autonomous systems. [6 hours]
Introduction to complex analysis and Laplace transform. [6 hours]
Non autonomous systems. Impulse response and transfer function. [6 hours]
Asymptotic and BIBO stability, Routh criterion. [4 hours]
Harmonic analysis. Bode diagrams. [4 hours]
Reachability and observability. [4 hours]
State stabilization. [4 hours]
Asymptotic state observers. [4 hours]

Full programme

Bibliography

Books for consultation:
1) G. Marro, ``Controlli Automatici'', quinta edizione, Zanichelli, Bologna,
2004.
2) P. Bolzern, R. Scattolini, N. Schiavoni, “Fondamenti di Controlli
Automatici”, quarta edizione, McGraw-Hill Education, 2015.
3) M. Basso, L. Chisci, P. Falugi, “Fondamenti di Automatica”, CittàStudi,
2007.
4) A. Ferrante, A. Lepschy, U. Viaro, “Introduzione ai Controlli
Automatici”, UTET, 2000.
5) J.C. Doyle, A. Tannembaum, B. Francis, “Feedback Control Theory”,
MacMillan, 1992.
6) M.P. Fanti, M. Dotoli, “MATLAB: Guida al laboratorio di automatica”,
CittàStudi, 2008.

Teaching methods

Theory lectures at the blackboard. In class exercises. Computer lab with Matlab.

Assessment methods and criteria

Assessment of learning is carried out in one of the following forms to be chosen by the student:

1) a written test in the middle of course lessons followed by a final written test at the end of the course.

2) Full written test (at least one for each exam session)

During the assessment tests, it is not permitted to read notes, manuals, books, etc. Some parts of the written tests require the use of a basic scientific calculator.

The final vote is expressed in 0-30 scale and is obtained as a weighted average in the assessment forms that have two distinct parts.

Other information

2030 agenda goals for sustainable development