Risorse bibliografiche
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 Scheda Riassuntiva
 Anno Accademico 2017/2018 Scuola Scuola di Ingegneria Industriale e dell'Informazione Insegnamento 097487 - MODELING AND SIMULATION OF AEROSPACE SYSTEMS Docente Topputo Francesco Cfu 8.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - BV (469) AERONAUTICAL ENGINEERING - INGEGNERIA AERONAUTICA*AZZZZ097487 - MODELING AND SIMULATION OF AEROSPACE SYSTEMS
Ing Ind - Inf (Mag.)(ord. 270) - BV (470) SPACE ENGINEERING - INGEGNERIA SPAZIALE*AZZZZ097487 - MODELING AND SIMULATION OF AEROSPACE SYSTEMS

 Programma dettagliato e risultati di apprendimento attesi
 MODELING AND SIMULATION OF AEROSPACE SYSTEMS 8 Credits (ECTS)   This class is for graduate students in Aeronautical Engineering (tracks “Rotary-wing aircraft” and “Flight mechanics and systems”) and Space Engineering   Description This class deals with the process of modeling and simulation of the systems that characterize the aerospace vehicles. The process of modeling abstraction is discussed, with a focus on paradigms, assumptions, lumping, and validity. First principles notions are then recalled in the domains involved in the systems analyzed: mechanics, fluid, thermal, electrical. Multidisciplinary systems are modeled by simple combination of the above elements. A number of mathematical models of components and systems are introduced, most of them relying on ordinary differential equations. The dynamics of these systems are then implemented into a computational framework where simulations are carried out to analyze the systems trajectory and to perform parametric analyses. Simulations involve implementing and/or using numerical schemes to solve nonlinear equations, initial and boundary value problems in ordinary differential equations, parametric optimization, and optimal control. The computing environment is Matlab™. The methods and techniques developed during the course support the model-based design of aerospace systems, and can be used in design, verification, and analysis. The course is of multidisciplinary nature, as notions of classical mechanics, fluid dynamics, heat transfer, electromagnetism, calculus, numerical analysis, and control are combined together for the sake of a proper simulation and analysis of the system behavior.   Objectives To model multidisciplinary physical systems from first principles To simulate mathematical models into a numerical frameworks To develop problem solving skills in the field of aerospace systems   Bibliography Robert H. Cannon, Dynamics of Physical Systems, McGraw Hill, 1967 François E. Cellier, Ernesto Kofman, Continuous System Modeling, Springer, 1991 Robert L. Woods, Kent L. Lawrence, Modeling and Simulation of Dynamic Systems, Prentice Hall, 1997 Ernest O. Doebelin, System Dynamics: Modeling, Analysis, Simulation, Design, Marcel Dekker, 1998 Eronini Umez-Eronini, System Dynamics and Control, PWS Publishing, 1999 Philip D. Cha, James J. Rosenberg, Clive L. Dym, Fundamentals of Modeling and Analyzing Engineering Systems, Cambridge, 2000 François E. Cellier, Ernesto Kofman, Continuous System Simulation, Springer, 2006 Bohdan T. Kulakowski, John F. Gardner, J. Lowen Shearer, Dynamic Modeling and Control of Engineering Systems, Cambridge, 2007 Clarence W. de Silva, Modeling and Control of Engineering Systems, CRC Press, 2009 Devendra K. Chaturvedi, Modeling and Simulation of Systems Using MATLAB and Simulink, CRC Press, 2009 Harold Klee, Randal Allen, Simulation of Dynamic Systems with MATLAB and Simulink, CRC Press, 2011   Contents The class is structured into three parts, Part I: Modeling, Part II: Simulation, Part III: Aerospace Systems. Part I and Part II are given in parallel. The topics studied in these two parts are listed below. In Part III, the student have to carry out project that involves modeling and simulation of an aerospace system of interest.   Part I: Modeling Paradigms, assumptions, lumping Mechanical systems Fluid systems Thermal systems Electrical systems Multidisciplinary systems   Part II: Simulation Programming in Matlab Solution of nonlinear equations Analytical solution of ODE Numerical solution of ODE Elements of parametric optimization Introduction to optimal control   Part III: Aerospace Systems In this part the students have to carry out a group (up to 3 students) project. The project topic can be either given by the instructor or chosen by the students. The project should involve modeling and simulation of a single or combination of aerospace systems. The domains imparted in Part I have to be involved (at least two of them), as well as the simulation techniques (numerical integration, optimization and/or optimal control). Students have to produce a report and have to give a presentation of their work.

 Note Sulla Modalità di valutazione
 Examination Students have to 1) deliver the study report, 2) deliver the code developed, 3) give a presentation of their project. Evaluation will rely on the three points above. An individual oral examination can take place if requested by the student.

 Bibliografia

 Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
28.0
esercitazione
20.0
laboratorio informatico
36.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
24.0

 Informazioni in lingua inglese a supporto dell'internazionalizzazione
 Insegnamento erogato in lingua Inglese Disponibilità di materiale didattico/slides in lingua inglese Disponibilità di libri di testo/bibliografia in lingua inglese Possibilità di sostenere l'esame in lingua inglese Disponibilità di supporto didattico in lingua inglese
 schedaincarico v. 1.6.1 / 1.6.1 Area Servizi ICT 22/02/2020