Study-unit CONTROL SYSTEMS
| Course name | Engineering management |
|---|---|
| Study-unit Code | A002922 |
| Curriculum | Comune a tutti i curricula |
| Lecturer | Francesco Ferrante |
| Lecturers |
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| Hours |
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| CFU | 8 |
| Course Regulation | Coorte 2022 |
| Supplied | 2023/24 |
| Supplied other course regulation | |
| Learning activities | Caratterizzante |
| Area | Ingegneria dell'automazione |
| Sector | ING-INF/04 |
| Type of study-unit | Obbligatorio (Required) |
| Type of learning activities | Attività formativa monodisciplinare |
| Language of instruction | English |
| Contents | Modeling and simulation of dynamical systems; stability analysis; feedback control synthesis; PID regulators; performance specifications; application to engineering management problems. |
| Reference texts | Paolo Bolzern, Riccardo Scattolini, Nicola Schiavoni, “Fondamenti di controlli automatici”, Mc Graw Hill Education, 2015. |
| Educational objectives | The purpose of the course is to introduce the main issues and engineering tools related to the design of management and control systems for manufacturing processes, in the broader context of dynamical systems. Specifically, the following topics will be discussed: modeling and simulation of dynamical systems; methodological tools for stability analysis; input-output behavior and performance; feedback control synthesis. Teaching activities include class exercises on simulated models of interests for management engineering. |
| Prerequisites | Basic courses in mathematics and physics; knowledge in the areas of matrix calculus and complex analysis. |
| Teaching methods | Lessons, exercises, and laboratory. |
| Other information | -- |
| Learning verification modality | Written and oral test. |
| Extended program | Modeling: • Tools for system modeling • Differential and difference equations • Simple dynamical models of physical systems • Simplified models of production systems and scheduling methods • Dynamical models of power systems and smart grids • Market-oriented population models • Introductory notes on additional modeling tools (Petri nets, event-driven dynamical systems). Simulation of dynamical systems: • Numerical solution of differential and difference equations • Application to the simulation of previously introduced models. Stability theory: • Equilibrium points and definition of stability • Stability criteria for linear and nonlinear systems. Input-output analysis: • Laplace transform • Input-output analysis of continuous-time linear systems • BIBO stability, relation with internal stability. Feedback control: • Stability and robustness properties of feedback control systems • State feedback control • Output feedback control • Static and dynamic performance • Industrial PID regulators • Application to simulated models. |
| Obiettivi Agenda 2030 per lo sviluppo sostenibile |