The course addresses the fundamentals of the control theory and of its application to the industrial systems. This entails the objective to provide the students with the capability of developing basic models of the systems to be controlled and with the knowledge of the analytical tools for performing the systems analysis. Starting from the competences acquired by the students in the Physics courses, the objective of the course of Modeling and Control of the Industrial Systems is to provide a unified treatment of the modeling of mechanical, electrical, fluid, and thermal systems and the basic tools for implementing their control, emphasizing how the physics of the system to be controlled plays a fundamental role in the definition of the control type and strategy.
The course includes: fundamentals of industrial systems modeling, basic properties and modeling of a control system, modeling of most common physical systems for industrial applications, control system characteristics, presentation of significant applications.
The course of Modeling and Control of the Industrial Systems hence links the description of the physics underlying the behaviour of the most common components of industrial systems to the control theory, thereby emphasizing the critical issues encountered in the design of control systems for the industrial applications. This will be instrumental in enabling the students at the end of the course to properly address problems relevant to the control of industrial systems.

The course has a twofold aim:
• Providing the students with an overview of the main types of the industrial systems and of the issues associated to their modeling and control. In parallel to the lectures that will present the necessary theoretical basis, the problem sessions will present many application examples in different engineering areas: industrial, aerospace and ground vehicles.
• Developing the ability of the students to identify the problems relevant to the control of industrial systems, to address them with a scientifically correct approach and to solve them with sound engineering methods in order to perform a correct modeling and an effective functional design. Simple case studies will be proposed to the students during the course to practice their knowledge and to train for the final exam.

Prerequisites for attending the course is a basic knowledge of calculus and physics.

The syllabus of the course includes:
• Fundamentals of industrial systems modeling (functions of systems modeling, types of systems models, modeling in time and frequency domains) - 3 hours
• Basic properties and modeling of a control system (integrators and derivators, first and second order systems, higher order system, systems with transport delay) - 4.5 hours
• Modeling of most common physical systems for industrial applications (mechanical systems, power conversion devices, electrical systems, hydraulic and pneumatic systems, thermal systems)- 12 hours
• Control system characteristics (structure of a control system, control systems types, stability analysis, main types of control laws)- 7.5 hours
• Electromechanical and hydraulic servosystems - 3 hours
• Problems sessions relevant to the subjects addressed in the lectures and presentations of significant applications (hot water production system, racing car drive-by-wire system, satellite launcher thrust vector control, etc.) – Total of 30 hours

The course subjects will be primarily addressed in regular lectures and problems sessions

Material relevant to problems sessions, presentation of applications, students assignments will be available in the portal page of the course.
Texts relevant to the lectures are:
1) Jacazio - Piombo: Meccanica applicata, Volume 3°: regolazione e servomeccanismi. Publisher: Levrotto & Bella
2) Bohdan T. Kulakowski, John F. Gardner, J. Lowen Shearer: "Dynamic Modeling and Control of Engineering Systems" – Publisher: Cambridge University Press
3) Clarence W. de Silva: "Modeling and Control of Engineering Systems" – Publisher: CRC Press

The assessment of the students knowledge will be performed by means of a final exam consisting of a written exam in which a few cases will be proposed to the students for which they will be asked to develop the relevant models and determine a certain number of their characteristics.