Ingegneria meccanica - Mechanical Engineering

In the course program, the dynamics of EMS-Electromechanical Systems and their control are analyzed in details, including systems of rigid bodies and of continuous elastic structures (rod, beam and plates). Applications to vibration analysis and their control, smart structures and mechatronic systems, are examples approached in the course. In details: 1. Introduction to Mechatronics Architecture of a mechatronic system Defining the KPIs Process, sensors, motors / actuators, controllers Models and sensors measurements Control of mechatronic systems 2. Multiphisics and Hamilton Principle Variational calculus Minimum principles in Mechanics and Electromagnetism Theory of EMS- ElectroMechanical System Hamilton action, the Euler-Lagrange equations Lagrange equations for electromechanical systems Linear and nonlinear dynamical systems 3. Linear Dynamics: discrete and continuous systems Systems of rigid bodies Systems of continuous elastic structures Constraints and the method of Lagrange's multiplers Linearization Time and Frequency domains: concvolution integral and transfer function Elements of spectral theory of linear operators Modal Analysis Systems with Ndof: Eigenvectors and Eigenfrequencies and their properties Continuous elastic systems: Eigenfunctions and Eigenfrequencies and their properties Forced deterministic problems (harmonic, periodic, shock) Forced random problems (random noise and power spectral density) Vibrations of elastic and electro-elastic systems Vibration active, semi-active and passive control *Applications of Matlab and Simulink for the analysis of oscillating EMS and mechatronics systems 4. Mechatronic Optimal Control Objective functions Minimum/minimum of objective functionals Pontryagin equations Model predictive control - MPC Quadratic objective functions and linear dynamics -LQR General solution by the RIccati's equation Special solution by Modal Analysis, eigenvector and eigenfrequencies Models and sensors measurements Kalman filter *Applications of Matlab and Smulink to controlled Mechatronics systems 5. Elements of Signal Analysis for Mechatronics and case-studies Data processing for intelligent control Extraction of information from data sensors Sensors and signals Free response of 1 DOF linear Forced response of 1 DOF linear Fourier transform (FT) Case study 1: Modeling the vibrations of a mechanical resonators subject to different inputs Case study 2. Modelling and analysis of an open-loop permanent magnet motor coupled with permanent magnet generator in transient and steady-state conditions Short Time Fourier Transform (STFT) Power Spectral Density (PSD) Hilbert Transform, istantaneous frequency and phase (HT and IF) Empirical mode decomposition (EMD) Case study 3: The intelligent tyre Case study 4: Real-time train railways monitoring Case study 5: Structural damage detection *Applications of Matlab and Simulink for the analysis of the case-studies 6. Design of Mechatronic Systems Architecture of a mechatronic system Defining KPIs Process, sensors, motors / actuators, controllers Preliminary design architecture Designing of the subcomponents (plant, sensors, controller, motors / actuators) Design of controllers with optimal control methods Design verification using Simulink Design examples: electronically controlled intelligent suspension system for motor vehicles, attitude stabilization systems of a drone. Experience in the laboratory of Mechatronics and Vehicles System Dynamics

Ottima conoscenza della dinamica, della meccanica razionale ed analitica Ottima conoscenza della meccanica dei solidi Ottima conoscenza dell'analisi matematica

Micromechatronics: Modeling, Analysis, and Design with MATLAB, Second Edition, Victor Giurgiutiu, Sergey Edward Lyshevski, 2009 by CRC Press. Chapter IV "Elements of Control", of the book "Vehicle System Dynamics and Mechatronics", A. Carcaterra, 2018 Fundamentals of Vibration, L.Meirovitch, McGraw-Hill, 2001 Appunti di Meccanica delle Vibrazioni, A. Carcaterra, 2004 Appunti di Meccanica delle Vibrazioni, A. Sestieri, 1995 Notes on Signal Analysis, N. Roveri, 2016

Il corso è basato sulle lezioni in aula in cui sono presentati tutti gli argomenti teorici. Il corso è corredato di lezioni per lo sviluppo di esercizi basati anche sull'uso del computer

The course is based on classroom lectures in which all the theoretical topics are presented. The course is equipped with lessons for the development of exercises based also on the use of computers

La modalità di valutazione è basata sull'esecuzione di una prova scritta ed una orale in cui si chiede di esaminare il modello di un sistema meccatronico, saperne costruire uno schema a blocchi, saperne effettuare la simulazione al computer.

Il corso è basato sulle lezioni in aula in cui sono presentati tutti gli argomenti teorici. Il corso è corredato di lezioni per lo sviluppo di esercizi basati anche sull'uso del computer

In the course program, the dynamics of EMS-Electromechanical Systems and their control are analyzed in details, including systems of rigid bodies and of continuous elastic structures (rod, beam and plates). Applications to vibration analysis and their control, smart structures and mechatronic systems, are examples approached in the course. In details: 1. Introduction to Mechatronics Architecture of a mechatronic system Defining the KPIs Process, sensors, motors / actuators, controllers Models and sensors measurements Control of mechatronic systems 2. Multiphisics and Hamilton Principle Variational calculus Minimum principles in Mechanics and Electromagnetism Theory of EMS- ElectroMechanical System Hamilton action, the Euler-Lagrange equations Lagrange equations for electromechanical systems Linear and nonlinear dynamical systems 3. Linear Dynamics: discrete and continuous systems Systems of rigid bodies Systems of continuous elastic structures Constraints and the method of Lagrange's multiplers Linearization Time and Frequency domains: concvolution integral and transfer function Elements of spectral theory of linear operators Modal Analysis Systems with Ndof: Eigenvectors and Eigenfrequencies and their properties Continuous elastic systems: Eigenfunctions and Eigenfrequencies and their properties Forced deterministic problems (harmonic, periodic, shock) Forced random problems (random noise and power spectral density) Vibrations of elastic and electro-elastic systems Vibration active, semi-active and passive control *Applications of Matlab and Simulink for the analysis of oscillating EMS and mechatronics systems 4. Mechatronic Optimal Control Objective functions Minimum/minimum of objective functionals Pontryagin equations Model predictive control - MPC Quadratic objective functions and linear dynamics -LQR General solution by the RIccati's equation Special solution by Modal Analysis, eigenvector and eigenfrequencies Models and sensors measurements Kalman filter *Applications of Matlab and Smulink to controlled Mechatronics systems 5. Elements of Signal Analysis for Mechatronics and case-studies Data processing for intelligent control Extraction of information from data sensors Sensors and signals Free response of 1 DOF linear Forced response of 1 DOF linear Fourier transform (FT) Case study 1: Modeling the vibrations of a mechanical resonators subject to different inputs Case study 2. Modelling and analysis of an open-loop permanent magnet motor coupled with permanent magnet generator in transient and steady-state conditions Short Time Fourier Transform (STFT) Power Spectral Density (PSD) Hilbert Transform, istantaneous frequency and phase (HT and IF) Empirical mode decomposition (EMD) Case study 3: The intelligent tyre Case study 4: Real-time train railways monitoring Case study 5: Structural damage detection *Applications of Matlab and Simulink for the analysis of the case-studies 6. Design of Mechatronic Systems Architecture of a mechatronic system Defining KPIs Process, sensors, motors / actuators, controllers Preliminary design architecture Designing of the subcomponents (plant, sensors, controller, motors / actuators) Design of controllers with optimal control methods Design verification using Simulink Design examples: electronically controlled intelligent suspension system for motor vehicles, attitude stabilization systems of a drone. Experience in the laboratory of Mechatronics and Vehicles System Dynamics

Ottima conoscenza della dinamica, della meccanica razionale ed analitica Ottima conoscenza della meccanica dei solidi Ottima conoscenza dell'analisi matematica

Micromechatronics: Modeling, Analysis, and Design with MATLAB, Second Edition, Victor Giurgiutiu, Sergey Edward Lyshevski, 2009 by CRC Press. Chapter IV "Elements of Control", of the book "Vehicle System Dynamics and Mechatronics", A. Carcaterra, 2018 Fundamentals of Vibration, L.Meirovitch, McGraw-Hill, 2001 Appunti di Meccanica delle Vibrazioni, A. Carcaterra, 2004 Appunti di Meccanica delle Vibrazioni, A. Sestieri, 1995 Notes on Signal Analysis, N. Roveri, 2016

Il corso è basato sulle lezioni in aula in cui sono presentati tutti gli argomenti teorici. Il corso è corredato di lezioni per lo sviluppo di esercizi basati anche sull'uso del computer

The course is based on classroom lectures in which all the theoretical topics are presented. The course is equipped with lessons for the development of exercises based also on the use of computers

La modalità di valutazione è basata sull'esecuzione di una prova scritta ed una orale in cui si chiede di esaminare il modello di un sistema meccatronico, saperne costruire uno schema a blocchi, saperne effettuare la simulazione al computer.

Il corso è basato sulle lezioni in aula in cui sono presentati tutti gli argomenti teorici. Il corso è corredato di lezioni per lo sviluppo di esercizi basati anche sull'uso del computer