Tecnologie per l'Automazione e la Robotica
Robotics and Automation Technologies Gianluca Ippoliti
Elements of automation and control; Elements of computing engineering; Elements of electronics
KNOWLEDGE AND UNDERSTANDING:
The course aims to provide students with knowledge on the technologies needed for the design and implementation of systems and equipment for automation and industrial robotics. Such knowledge, integrating the notions of automatic control, computer science and electronics acquired in the teachings of the previous years, will be the insights that will enrich knowledge on automatic systems for the control and management of systems and equipment for automation and industrial robotics. In this way, students can gain a clear awareness of the wider multidisciplinary context of the engineering, with a clear reference to the aspects strictly connected with the application of the principles underlying the analysis of dynamical systems and analysis, design and synthesis of control systems.CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
The student will be able to apply the acquired know to design and implement systems for automation and industrial robotics. This ability will give skills to the students , such as: 1. the ability to appropriately select the most suitable technology for the design and development of automatic control systems; 2. the ability to find models, approaches, and the most appropriate algorithms for the formalization of simple control problems; 3. the ability to work in the laboratory, to design and conduct appropriate experiments, interpret the data and draw conclusions, working in teams with other elements involved in the study of the problem.TRANSVERSAL SKILLS:
The execution of an exercise to solve a problem that will be done in team and that will lead to a report, will improve in the students the degree of independence of judgment, the ability to communicate with others members of a team, and the ability to learn independently and to draw conclusions.
Introduction to the process control. Control system architectures. Measurements in control systems. Measuring devices. Data acquisition systems. Electric drives. Static and dynamic analysis of DC motors, stepper motors, brushless motors and AC motors. Power semiconductors devices. Electric power converters. Programmable logic controllers (PLC). Local area networks for automation. Elements of industrial robotics.
Development of the examination
LEARNING EVALUATION METHODS
The evaluation is oral. In the oral exam the student is asked to present the knowledge gained on the technologies and methodologies for the design and development of systems and equipments for automation and industrial robotics, illustrated during lessons. An optional project on one of the topics covered during the lessons is proposed to each student.
LEARNING EVALUATION CRITERIA
The student, during the oral test, has to, independently and correctly, present and discuss the eventual developed project and demonstrate that she/he has the necessary knowledge and expertise on the technologies and methodologies for the design and development of systems and equipments for automation and industrial robotics, illustrated during lessons. In addition, students must demonstrate sufficient capacity to judge, select, synthesize and clearly explain ideas, concepts and technological solutions presented during lectures.
LEARNING MEASUREMENT CRITERIA
During the exam, is evaluated the student's independent ability to set and solve the posed problems. It is also evaluated the ability to properly use the technologies and methodologies for the design and development of systems and equipments for automation and industrial robotics.
FINAL MARK ALLOCATION CRITERIA
The final mark is assigned summing up the evaluation of the oral examination and of the eventual developed project. The student can achieve up to a maximum of 10 points in the project. The oral exam is divided into two or three questions, depending on whether or not the student will present the project. Each question is evaluated with a score ranging from 0 to 10 points. The maximum mark, equal to thirty points cum laude, is awarded to students who demonstrate a full autonomy to set and solve problems and complete mastery of the technologies and methodologies for the design and development of systems and equipments for automation and industrial robotics. The minimum mark, equal to eighteen, is assigned to students who demonstrate to be able to solve placed problems and sufficient knowledge of the technologies and methodologies for the design and development of systems and equipments for automation and industrial robotics.
G. Magnani, G. Ferretti, P. Rocco, Tecnologie dei Sistemi di controllo, McGraw Hill, seconda edizione, Milano, 2007. P. Chiacchio e F. Basile, Tecnologie Informatiche per lAutomazione, McGraw Hill, Milano, 2004. G. Marro, Componenti dei Sistemi di Controllo, Zanichelli, Bologna, 1984. M. E. Penati, G. Bertoni, Sistemi di controllo: modellistica e tecnologie, Zanichelli, Bologna, 1989. Teaching materials: https://lms.univpm.it/
- Ingegneria Informatica e dell'Automazione (Corso di Laurea Triennale (DM 270/04))