Automation

Course objectives

General objectives The course provides an overview on supervision architectures and control methodologies for the operation of machines, physical devices, and industrial processes controlled in real time using distributed computers and a communication network. Specific objectives Knowledge and understanding: Students will learn principles, mathematical models and methods for analysis, design, simulation, control and supervision of automation systems. Apply knowledge and understanding: Students will be able to understand the general problems of automation systems, with focus on their time-driven or event-driven dynamic components, and to design and implement real-time control and supervision techniques. Critical and judgment skills: Students will be able to analyse the organization and operation of complex automation processes and individual components, characterizing their properties, performance, and weaknesses. Communication skills: The course will allow students to be able to present the main problems and technical solutions for the automation of processes and systems of industrial nature and beyond. Learning ability: The course aims at developing autonomous learning abilities in the students, oriented to the analysis and solution of automation problems.

Channel 1
ALESSANDRO GIUSEPPI Lecturers' profile

Program - Frequency - Exams

Course program
Frameworks and architectures for industrial automations. Computer Integrated Manufacturing. Industry 4.0. Control systems for real-time tasks and scheduling. Computer networks and protocols for automation. Electric drives for controlled motion. Field control using analog or digital PID controllers and their tuning. Programmable logic controllers (PLCs) and their languages. Sequential Functional Chart (SFC). Modeling, analysis and control of discrete event systems. Petri nets. Modeling and supervisory control with Petri nets.
Prerequisites
Fundamentals on feedback control
Books
C. Bonivento, L. Gentili, A. Paoli: "Sistemi di automazione industriale: Architetture e controllo", McGraw Hill, 2011.
Frequency
Classroom attendance is not mandatory.
Exam mode
written test
Lesson mode
In-presence classes
  • Lesson code1041466
  • Academic year2025/2026
  • CourseComputer and Control Engineering
  • CurriculumAutomatic
  • Year3rd year
  • Semester1st semester
  • SSDING-INF/04
  • CFU6