Automazione Industriale (GEST)
Industrial Automation Leopoldo Ietto
Elements of linear algebra, Rudiments of linear matricial algebra., elements of mathematical analysis, Laplace transform. Basic elements of linear system theory.
KNOWLEDGE AND UNDERSTANDING:
The course is aimed at providing the students with the expertise to adequately face analysis and synthesis of a control systems with analogic components. Particular attention is paid to experimental procedures for attaining the above objectives in the case of industrial processes.CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
The theoretical and practical topics studied in the course will allow the student to synthesize an analogic control system on the basis of the required closed-loop dynamics. The student will be able to determine the most appropriate design technique and the relative components.TRANSVERSAL SKILLS:
The general approach adopted for the analysis and synthesis of the control systems will provide the student with the ability of facing different applications within the same methodological framework. In this way, the acquired competence can be also applied to problems relative to fields like e.g. industrial production management, environment and biomedical engineering.
Introduction to control problems and to the related control systems. Feedback control systems. Elements of system analysis. . Frequency response. Bode and Nyquist diagrams. Stability: Routh and Nyquist criteria Transient and steady-state response. Steady-state performance. Sinthesis in the frequency domain. Root locus. Industrial regulators.
Development of the examination
LEARNING EVALUATION METHODS
The exam consists of written and oral parts. The written part concerns the analysis and/or design of an industrial control system, possibly using software packages. Lecture notes and books are allowed to be looked at. The oral part consists in a deep discussion on the most important theoretical notions concerning analysis and design of an analog industrial control system.
LEARNING EVALUATION CRITERIA
The primary goal of the exam is to verify the student capability to autonomously evaluate the essential features of a control problem and to recognize the most appropriate tools to solve it.
LEARNING MEASUREMENT CRITERIA
The learning degree is evaluated through the grasp of the basic principles governing the classical approach to the analysis and synthesis of industrial control systems.
FINAL MARK ALLOCATION CRITERIA
The maximum score is 30/30 and is assigned to students solving the given control problems in fully correct way and show a complete awareness oft the methodologies. The minimum score to overcome the exam is 18/30 and is assigned to students possessing the above requisites in a sufficient level. .
Lecture notes. Available at the typing office.
-Isidori: Sistemi di Controllo, Siderea, Roma, 1992.
P. Bolzern, R. Scattolini, N. Schiavoni. Fondamenti di controlli automatici, 3/ed, McGraw-Hill, Milano, 2006.
Franklin, Powell,Emami-Naemi:Controllo a retroazione di sistemi dianmici,EdiSES
- Ingegneria Gestionale (Corso di Laurea Triennale Fuori Sede (DM 270/04))