SlideShare a Scribd company logo
Altair E-ATC 2015
Purpose of this presentation
• To present the effectiveness of a new teaching methods through all the
graduation process for engineering students, ranging from the BSc to the MSc level,
with the support of PhD students.
• The organization of the learning process is a recurring process through the different
academic years. More than two hundred undergraduate students in aerospace
engineering at the Politecnico di Torino are involved in this teaching process.
Purpose of this presentation
• The process implicates theoretical lectures, computer laboratories, experimental
workbench, and invited lecturers from the aerospace industry, and shows how different
multidisciplinary concepts and models, useful for the aerospace systems design, can be
presented and then worked again in the next courses.
• An example concerning the flight control system is presented underlining how the models
can be introduced at the third year (3°BSc), with the support of some engineering tools,
and then reprised and developed in more details at the fifth year (2°MSC), with an
effective and quick heritage of knowledge.
Courses involved
Course
code
Course Title
Ects
points
Year
01OQDMN Introduction to Aerospace Engineering 6 1° BSc
01MZBLZ Aerospace System Engineering and On-Board Systems 6 3° BSc
01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
01OQDMN 01MZBLZ 01PETMT
Aerospace engineering BSc Aerospace engineering MSc
3D CAD modelling
knowledge from
other courses
N° of students
enrolled >200
N° of students
enrolled >200
N° of students
enrolled ~60
BSc Aerospace Engineering Course
The aim of the course is to provide a global description of the aerospace systems, pointing
out how their architectures and characteristics have changed during the evolution of the
technology development; they are complex products comprised of many subsystems which
meet demanding customer and operational value requirements. This picture, applicable to
any other technologically advanced engineering product, introduces to the system theory
approach in the engineering field which is based on the necessity to cope with many inter-
connections among the disciplines that will also be explored in details in the following of the
engineering studies. This course adopts a holistic approach to the aerospace product,
understood as a system along its whole lifecycle, covering: basic systems engineering; cost
and weight estimation; basic aircraft performance; safety and reliability; lifecycle topics;
aircraft subsystems; risk analysis and management; and system realization.
This approach would provide the student with:
1) a sketch of the main characteristics and role of the different engineering disciplines
concurring to the product design,
2) the strengthening of a mental logical scheme to better understand the connections
among disciplines from the system engineering point of view.
01OQDMN Introduction to Aerospace Engineering 6 1° BSc
Case study: Flight Mechanics and flight controls system.
3 lessons: a general description of performed functions and inter-
connections among the other disciplines and aircraft sub-
systems are presented.
01OQDMN Introduction to Aerospace Engineering
BSc Aerospace Engineering Course
BSc Aerospace Engineering Course
Aircraft and spacecraft are complex products comprised of many systems which must meet
demanding customer and operational lifecycle value requirements.
The aim of this course is to provide the students with an understanding of the fundamental
concepts of aerospace systems, in multi-disciplinary applications with complex interactions
typical of the system design engineering. In particular, the course aims to expand the
students’ knowledge of airborne systems, their role, design and integration, providing
students with an appreciation of the considerations necessary when selecting aircraft on-
board systems and the effect of systems on the aircraft as a whole, with a practical and
qualitative appreciation of the systems which aircraft carry on-board to enable them to
function safely and effectively. A quick overview on space system will be also given.
Topics will include aviation fundamentals, basic airmanship, aerospace physics elements,
basic aerodynamics, performances, stability & control, safety and operating costs.
01MZBLZ Aerospace System Engineering and On-Board Systems 6 3° BSc
BSc Aerospace Engineering Courses
Case study: flight controls system.
6 lessons: detailed description, design principles, performances,
components and inter-connections among the other aircraft sub-
systems are presented.
01MZBLZ Aerospace System Engineering and On-Board Systems
BSc Aerospace Engineering Courses
Computer laboratories: 4 lessons
1) Study of the aircraft manufacturer schemes and 3D
taking of the real flight controls lines.
01MZBLZ Aerospace System Engineering and On-Board Systems
BSc Aerospace Engineering Courses
01MZBLZ Aerospace System Engineering and On-Board Systems
Longitudinal
mechanic
reversible control
2) 3D CAD modelling of the flight controls lines.
BSc Aerospace Engineering Courses
3) 3D CAD modelling of the flight controls lines.
01MZBLZ Aerospace System Engineering and On-Board Systems
BSc Aerospace Engineering Courses
4) Modelling of the controls lines within a multibody environment.
01MZBLZ Aerospace System Engineering and On-Board Systems
Cinematic analysis
Clashing control
Gear ratio and ergonomic
evaluation
MSc Aerospace Engineering Course
Subject fundamentals
This course serves as an introduction to the modelling techniques of nonlinear lumped-
parameters control systems, arising in aerospace engineering.
Applications are drawn from aerospace servo-mechanisms, with special reference to
primary flight controls.
Lectures refer to the "V"-model of Systems Engineering, with special emphasis on the
importance of the safety, requirements, and on the component and subsystem test
and integration as well as functional testing.
Moreover, the course also introduces some methods and techniques useful in the
design of complex systems like Multidisciplinary System Design Optimization (MSDO)
and Simultaneous Engineering (SE).
01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
MSc Aerospace Engineering Course
Expected learning outcomes
Demonstrate knowledge about the systems design process and understand the role
and the importance of the systems modelling, simulation and testing activities
application along the design phases. Ability to create non linear models of different
components of a typical aerospace control system. Ability to integrate low hierarchy
models to define a more complex multidisciplinary model of a system by the use of
commercial programming tools.
Demonstrate knowledge and understanding about laboratory testing activity,
managing control laws. Ability to conduct simple experiments on a laboratory
workbench, carrying out test activities.
01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
MSc Aerospace Engineering Course
Delivery modes
The course consists of lectures interspersed with hands-on practice (at least 40% of the total
number of hours for the course) followed by exercises, based on the material covered in the
lecture, with the continuous support of the teacher. The exercises are conducted in the
computer laboratory mainly by the use of Matlab-Simulink tool. Several non-linear models of
different types of recent aerospace servo-mechanisms (primary flight controls) are
developed by the student under the teacher guide. The simulation results are discussed and
compared. They are collected on a student’s individual project report to be discussed at the
final exam. Practical exercises are also provided by a laboratory workbench representing a
modern fly-by-wire primary flight controls scheme, with a position loop computer having a
parametric gain settings unit, and a dedicated data acquisition board.
The course is split into two parts: general and applicative.
01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
MSc Aerospace Engineering Course
General part
Basics of model theory and time domain numerical simulation of lumped parameter systems techniques.
System design engineering and role played by modelling, simulation and testing. "V"-model of Systems Engineering:
needs identification, requirements formulation, concept generation and selection, trade studies, preliminary and
detailed design; definition of component and subsystem test plan and integration, as well as functional verification
testing.
Types of nonlinearities of servo-mechanisms.
Primary flight controls description, with special reference to fly-by-wire architectures integrating Electro Hydrostatic and
Electro Mechanical Actuators (EHA and EMA).
Basics of safety and reliability in systems design. Fault tolerant architectures for primary flight controls. Diagnostics and
prognostics techniques in safety critical control systems.
Application of numerical simulation on nonlinear servo-mechanism.
General programming techniques for the non-linear numerical simulation starting from the existing sub-systems models;
analysis and comparison between different approaches. Trade-off analysis between dynamical models, with different
typology and complexity, of a specific component or sub-system. Relevant applications of aerospace dynamic
systems.
Commercial tools and techniques for system simulation. Analysis of the numerical problems of time domain simulation.
Outline of multidisciplinary integrated design techniques: concurrent e simultaneous engineering (SE).
Outline of the multidisciplinary design system optimization (MDSO) methodology.
Generality of aerospace systems testing. Workbench and sensors calibration. Design of experiments techniques.
Testing equipment and sensors integration.
01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
MSc Aerospace Engineering Course
Application part
Modelling of flight controls components; 1) electro-mechanical parts: DC motor, variable displacement hydraulic
pumps, screw jacks, hydraulic cylinders, flight control surfaces and mechanic links, 2) control and regulation parts:
hydraulic servo-valves, relief valves, sensors, position control loop algorithms. Several models for each components will
be developed with increasing level of complexity, including non-linear effects (clearances, coulomb friction,
saturations, hysteresis, etc..).
Complete electro-fluid-dynamic model of a servo-valve with fourth and third orders formulation. Possible simplification
to the first order and instantaneous formulation. Pros and cons comparison. High lift device actuation unit modelling:
hydraulic motor + fail safe transmission torsion shaft + linear actuators + no back brakes.
Complete electro-fluid-dynamic model of a servo-valve + hydraulic cylinder with a position control loop: sixth and fifth
order formulation. Simplification to the orders 3 and 2; pros and cons comparison.
Two stages electro-hydraulic servo-valves: spool as a second stage; types of first stage piloting control loop: flapper-
nozzle, jet-pipe, jet-deflector. Working principles jet-pipe and comparisons with the other types. Description of the
classical dynamic behaviour during the interaction of the two stages of the valve. Analysis of the effects of the model
simplifications on the actuation time constants.
Integration of the models into a complete actuation system of a fly-by-wire control, aircraft flight mechanics included.
Parametric analysis of the numerical behaviour of the developed models when simulating. Definition of figures of merit
to characterize the performance of the system model with respect of the design requirements.
Definition of a testing plan to be implemented on the experiments workbench.
Implementation of diagnostic logics, failure management criteria and fault tolerance characteristics.
Definition of a simple case study of multidisciplinary design optimization applied to a primary flight control.
01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
1) Model theory and time domain numerical simulation of
lumped parameter systems techniques.
01PETMT Modelling, Simulation and Testing of the Aerospace Systems
MSc Aerospace Engineering Course
f
Actuator mode (20 60Hz)
18
0°
90°
27
0°
-40dB/decade
-80dB/decade
GdB

Servo-valve mode
(200400Hz)
Second order
(actuator)
Second order
(servo-valve)
2) Definition of the requirements: loads, speed of
actuation, etc..
01PETMT Modelling, Simulation and Testing of the Aerospace Systems
Performance
Never exceed speed: 795 km/h (430 knots, 495 mph)
Maximum speed: 740 km/h (400 knots, 460 mph)
Stall speed: 156 km/h (84 knots, 97 mph)
Range: 1,778 km (960 nm, 1,105 miles)
Service ceiling: 12,190 m (40,000 ft)
Rate of climb: 1,438 m/min (4,720 ft/min)
Thrust/weight: 0.452:1
Acceleration limits: +7.33g (+71.9 m/s²)/−3.5g (−34 m/s²)
MSc Aerospace Engineering Course
2) … and frequency response
01PETMT Modelling, Simulation and Testing of the Aerospace Systems
Frequency (Hz)
Phase(°)
-120
-100
-80
-60
-40
-20
0
0,1 1 10 100
-25
-20
-15
-10
-5
0
5
0,1 1 10 100
Gain(dB)
Frequency (Hz)
Large amplitude gain boundary
Small amplitude gain boundary
MSc Aerospace Engineering Course
MSc Aerospace Engineering Course
Next planned steps:
Resumption of the MotionView models of the primary flight
controls. Definition of materials and inertia characteristics,
and refinement of the model.
Analysis within the MotionSolve tool to verify some
mechanical requirements (dynamic stiffness, frequency
response, etc..).
Optimization of the configuration using HyperStudy tool,
involving control laws.
01PETMT Modelling, Simulation and Testing of the Aerospace Systems
MSc Aerospace Engineering Course
Verification of the optimization results with a dedicated
workbench test activities.
01PETMT Modelling, Simulation and Testing of the Aerospace Systems
MSc Aerospace Engineering Course
01OQDMN 01MZBLZ 01PETMT
Aerospace engineering BSc Aerospace engineering MSc
3D CAD modelling
knowledge from other
courses
Altair MotionView
Altair HyperStudy
Altair MotionSolve
A multidisciplinary teaching method in the aerospace engineering systems field at the Politecnico di Torino

More Related Content

Viewers also liked

Fundamentals Of Space Systems & Space Subsystems course sampler
Fundamentals Of Space Systems & Space Subsystems course samplerFundamentals Of Space Systems & Space Subsystems course sampler
Fundamentals Of Space Systems & Space Subsystems course sampler
Jim Jenkins
 
Space Systems & Space Subsystems Fundamentals Technical Training Course Sampler
Space Systems & Space Subsystems Fundamentals Technical Training Course SamplerSpace Systems & Space Subsystems Fundamentals Technical Training Course Sampler
Space Systems & Space Subsystems Fundamentals Technical Training Course Sampler
Jim Jenkins
 
Aerodinamica basicas
Aerodinamica basicasAerodinamica basicas
Aerodinamica basicas
Camilo Guayazan
 
Aerodinámica de perfiles
Aerodinámica de perfilesAerodinámica de perfiles
Aerodinámica de perfiles
Jordan Chumpitazi
 
AERODINÁMICA
AERODINÁMICAAERODINÁMICA
AERODINÁMICA
majocastilla
 
Aerodinámica EEA
Aerodinámica EEAAerodinámica EEA
Aerodinámica EEA
Haniel Fierros
 
Fundamentals of electrical and electronics engineering
Fundamentals of electrical and electronics engineeringFundamentals of electrical and electronics engineering
Fundamentals of electrical and electronics engineering
Homework Guru
 
Aerodinamica ii
Aerodinamica iiAerodinamica ii
Aerodinamica iiAna Medina
 
Aerodinamica
AerodinamicaAerodinamica
Aerodinamica
AerodinamicaAerodinamica
Aerodinamicadjsoti
 
Integrative teaching techniques rex
Integrative teaching techniques rexIntegrative teaching techniques rex
Integrative teaching techniques rexRex Jardeleza
 
Brief history of Aerospace Engineering
Brief history of Aerospace EngineeringBrief history of Aerospace Engineering
Brief history of Aerospace Engineering
Mohammad Tawfik
 
Aerospace engineering
Aerospace engineeringAerospace engineering
Aerospace engineering
ahsengineering
 
4 aerodinamica
4 aerodinamica4 aerodinamica
4 aerodinamica
sorcelote
 
Modeling- behavior modification technique
Modeling- behavior modification techniqueModeling- behavior modification technique
Modeling- behavior modification technique
Jomina Deri-Huerto
 
Aerodinâmica básica
Aerodinâmica básicaAerodinâmica básica
Aerodinâmica básicaMixpt
 
Integrated Multidisciplinary thematic unit and
Integrated Multidisciplinary thematic unit and Integrated Multidisciplinary thematic unit and
Integrated Multidisciplinary thematic unit and Choc Nat
 

Viewers also liked (20)

Fundamentals Of Space Systems & Space Subsystems course sampler
Fundamentals Of Space Systems & Space Subsystems course samplerFundamentals Of Space Systems & Space Subsystems course sampler
Fundamentals Of Space Systems & Space Subsystems course sampler
 
Space Systems & Space Subsystems Fundamentals Technical Training Course Sampler
Space Systems & Space Subsystems Fundamentals Technical Training Course SamplerSpace Systems & Space Subsystems Fundamentals Technical Training Course Sampler
Space Systems & Space Subsystems Fundamentals Technical Training Course Sampler
 
Aerodinamica basicas
Aerodinamica basicasAerodinamica basicas
Aerodinamica basicas
 
Aerodinámica de perfiles
Aerodinámica de perfilesAerodinámica de perfiles
Aerodinámica de perfiles
 
AERODINÁMICA
AERODINÁMICAAERODINÁMICA
AERODINÁMICA
 
Aerodinámica EEA
Aerodinámica EEAAerodinámica EEA
Aerodinámica EEA
 
Fundamentals of electrical and electronics engineering
Fundamentals of electrical and electronics engineeringFundamentals of electrical and electronics engineering
Fundamentals of electrical and electronics engineering
 
Aerodinamica ii
Aerodinamica iiAerodinamica ii
Aerodinamica ii
 
Aerodinamica
AerodinamicaAerodinamica
Aerodinamica
 
Aerodinamica
AerodinamicaAerodinamica
Aerodinamica
 
Integrative teaching techniques rex
Integrative teaching techniques rexIntegrative teaching techniques rex
Integrative teaching techniques rex
 
Brief history of Aerospace Engineering
Brief history of Aerospace EngineeringBrief history of Aerospace Engineering
Brief history of Aerospace Engineering
 
Aerospace engineering
Aerospace engineeringAerospace engineering
Aerospace engineering
 
aerospace engineer power point
aerospace engineer power pointaerospace engineer power point
aerospace engineer power point
 
4 aerodinamica
4 aerodinamica4 aerodinamica
4 aerodinamica
 
Modeling- behavior modification technique
Modeling- behavior modification techniqueModeling- behavior modification technique
Modeling- behavior modification technique
 
Aerodinâmica básica
Aerodinâmica básicaAerodinâmica básica
Aerodinâmica básica
 
Aerodinámica
AerodinámicaAerodinámica
Aerodinámica
 
Integrated Multidisciplinary thematic unit and
Integrated Multidisciplinary thematic unit and Integrated Multidisciplinary thematic unit and
Integrated Multidisciplinary thematic unit and
 
Nursing standards1
Nursing standards1Nursing standards1
Nursing standards1
 

Similar to A multidisciplinary teaching method in the aerospace engineering systems field at the Politecnico di Torino

RELIABILITY OF MECHANICAL SYSTEM OF SYSTEMS
RELIABILITY OF MECHANICAL SYSTEM OF SYSTEMSRELIABILITY OF MECHANICAL SYSTEM OF SYSTEMS
RELIABILITY OF MECHANICAL SYSTEM OF SYSTEMS
cscpconf
 
Study for flight simulation environments
Study for flight simulation environmentsStudy for flight simulation environments
Study for flight simulation environments
Wai Nwe Tun
 
Design of Mechatronics System
Design of Mechatronics SystemDesign of Mechatronics System
Design of Mechatronics System
Veerakumar S
 
PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...
PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...
PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...
ijesajournal
 
Project based microcontroller
Project based microcontrollerProject based microcontroller
Project based microcontroller
ijesajournal
 
Control systems R18 course
Control systems R18 course Control systems R18 course
Control systems R18 course
satyaSatyant234
 
Mechtronic 2
Mechtronic 2Mechtronic 2
Mechtronic 2
djimatrice
 
control system.pdf
control system.pdfcontrol system.pdf
control system.pdf
k vimal kumar
 
#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...
#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...
#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...
Obeo
 
A Level Training Set with both a Computer-Based Control and a Compact Control...
A Level Training Set with both a Computer-Based Control and a Compact Control...A Level Training Set with both a Computer-Based Control and a Compact Control...
A Level Training Set with both a Computer-Based Control and a Compact Control...
ijesajournal
 
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...
ijesajournal
 
College 2 18-2014
College 2 18-2014College 2 18-2014
College 2 18-2014
Anand Ronald
 
Design of mechatronics systems
Design of mechatronics systemsDesign of mechatronics systems
Design of mechatronics systems
Yuga Aravind Kumar
 
FDSA Thor Design Study Stage 1.pdf
FDSA Thor Design Study Stage 1.pdfFDSA Thor Design Study Stage 1.pdf
FDSA Thor Design Study Stage 1.pdf
Geoffrey Wardle. MSc. MSc. Snr.MAIAA
 
Finite_Element_Modeling_of_the_Arresting_Gear_and_.pdf
Finite_Element_Modeling_of_the_Arresting_Gear_and_.pdfFinite_Element_Modeling_of_the_Arresting_Gear_and_.pdf
Finite_Element_Modeling_of_the_Arresting_Gear_and_.pdf
AbdulMuneerA2
 
Study of model predictive control using ni lab view
Study of model predictive control using ni lab viewStudy of model predictive control using ni lab view
Study of model predictive control using ni lab viewIAEME Publication
 
Study of model predictive control using ni lab view
Study of model predictive control using ni lab viewStudy of model predictive control using ni lab view
Study of model predictive control using ni lab viewiaemedu
 
Study of model predictive control using ni lab view
Study of model predictive control using ni lab viewStudy of model predictive control using ni lab view
Study of model predictive control using ni lab viewiaemedu
 

Similar to A multidisciplinary teaching method in the aerospace engineering systems field at the Politecnico di Torino (20)

RELIABILITY OF MECHANICAL SYSTEM OF SYSTEMS
RELIABILITY OF MECHANICAL SYSTEM OF SYSTEMSRELIABILITY OF MECHANICAL SYSTEM OF SYSTEMS
RELIABILITY OF MECHANICAL SYSTEM OF SYSTEMS
 
Study for flight simulation environments
Study for flight simulation environmentsStudy for flight simulation environments
Study for flight simulation environments
 
10 3
10 310 3
10 3
 
Design of Mechatronics System
Design of Mechatronics SystemDesign of Mechatronics System
Design of Mechatronics System
 
PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...
PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...
PROJECT-BASED MICROCONTROLLER SYSTEM LABORATORY USING BK300 DEVELOPMENT BOARD...
 
Project based microcontroller
Project based microcontrollerProject based microcontroller
Project based microcontroller
 
Control systems R18 course
Control systems R18 course Control systems R18 course
Control systems R18 course
 
Mechtronic 2
Mechtronic 2Mechtronic 2
Mechtronic 2
 
CoursePackages-MPSYS
CoursePackages-MPSYSCoursePackages-MPSYS
CoursePackages-MPSYS
 
control system.pdf
control system.pdfcontrol system.pdf
control system.pdf
 
#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...
#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...
#SiriusCon 2015: Talk by Christophe Boudjennah "Experimenting the Open Source...
 
A Level Training Set with both a Computer-Based Control and a Compact Control...
A Level Training Set with both a Computer-Based Control and a Compact Control...A Level Training Set with both a Computer-Based Control and a Compact Control...
A Level Training Set with both a Computer-Based Control and a Compact Control...
 
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...
 
College 2 18-2014
College 2 18-2014College 2 18-2014
College 2 18-2014
 
Design of mechatronics systems
Design of mechatronics systemsDesign of mechatronics systems
Design of mechatronics systems
 
FDSA Thor Design Study Stage 1.pdf
FDSA Thor Design Study Stage 1.pdfFDSA Thor Design Study Stage 1.pdf
FDSA Thor Design Study Stage 1.pdf
 
Finite_Element_Modeling_of_the_Arresting_Gear_and_.pdf
Finite_Element_Modeling_of_the_Arresting_Gear_and_.pdfFinite_Element_Modeling_of_the_Arresting_Gear_and_.pdf
Finite_Element_Modeling_of_the_Arresting_Gear_and_.pdf
 
Study of model predictive control using ni lab view
Study of model predictive control using ni lab viewStudy of model predictive control using ni lab view
Study of model predictive control using ni lab view
 
Study of model predictive control using ni lab view
Study of model predictive control using ni lab viewStudy of model predictive control using ni lab view
Study of model predictive control using ni lab view
 
Study of model predictive control using ni lab view
Study of model predictive control using ni lab viewStudy of model predictive control using ni lab view
Study of model predictive control using ni lab view
 

More from Altair

Altair for Manufacturing Applications
Altair for Manufacturing ApplicationsAltair for Manufacturing Applications
Altair for Manufacturing Applications
Altair
 
Smart Product Development: Scalable Solutions for Your Entire Product Lifecycle
Smart Product Development: Scalable Solutions for Your Entire Product LifecycleSmart Product Development: Scalable Solutions for Your Entire Product Lifecycle
Smart Product Development: Scalable Solutions for Your Entire Product Lifecycle
Altair
 
Simplify and Scale FEA Post-Processing
Simplify and Scale FEA Post-Processing Simplify and Scale FEA Post-Processing
Simplify and Scale FEA Post-Processing
Altair
 
Designing for Sustainability: Altair's Customer Story
Designing for Sustainability: Altair's Customer StoryDesigning for Sustainability: Altair's Customer Story
Designing for Sustainability: Altair's Customer Story
Altair
 
why digital twin adoption rates are skyrocketing.pdf
why digital twin adoption rates are skyrocketing.pdfwhy digital twin adoption rates are skyrocketing.pdf
why digital twin adoption rates are skyrocketing.pdf
Altair
 
Can digital twins save the planet?
Can digital twins save the planet?Can digital twins save the planet?
Can digital twins save the planet?
Altair
 
Altair for Industrial Design Applications
Altair for Industrial Design ApplicationsAltair for Industrial Design Applications
Altair for Industrial Design Applications
Altair
 
Analyze performance and operations of truck fleets in real time
Analyze performance and operations of truck fleets in real timeAnalyze performance and operations of truck fleets in real time
Analyze performance and operations of truck fleets in real time
Altair
 
Powerful Customer Intelligence | Altair Knowledge Studio
Powerful Customer Intelligence | Altair Knowledge StudioPowerful Customer Intelligence | Altair Knowledge Studio
Powerful Customer Intelligence | Altair Knowledge Studio
Altair
 
Altair Data analytics for Healthcare.
Altair Data analytics for Healthcare.Altair Data analytics for Healthcare.
Altair Data analytics for Healthcare.
Altair
 
AI supported material test automation.
AI supported material test automation.AI supported material test automation.
AI supported material test automation.
Altair
 
Altair High-performance Computing (HPC) and Cloud
Altair High-performance Computing (HPC) and CloudAltair High-performance Computing (HPC) and Cloud
Altair High-performance Computing (HPC) and Cloud
Altair
 
No Code Data Transformation for Insurance with Altair Monarch
No Code Data Transformation for Insurance with Altair MonarchNo Code Data Transformation for Insurance with Altair Monarch
No Code Data Transformation for Insurance with Altair Monarch
Altair
 
Altair Data analytics for Banking, Financial Services and Insurance
Altair Data analytics for Banking, Financial Services and Insurance Altair Data analytics for Banking, Financial Services and Insurance
Altair Data analytics for Banking, Financial Services and Insurance
Altair
 
Altair data analytics and artificial intelligence solutions
Altair data analytics and artificial intelligence solutionsAltair data analytics and artificial intelligence solutions
Altair data analytics and artificial intelligence solutions
Altair
 
Are You Maximising the Potential of Composite Materials?
Are You Maximising the Potential of Composite Materials?Are You Maximising the Potential of Composite Materials?
Are You Maximising the Potential of Composite Materials?
Altair
 
Lead time reduction in CAE: Automated FEM Description Report
Lead time reduction in CAE:  Automated  FEM Description ReportLead time reduction in CAE:  Automated  FEM Description Report
Lead time reduction in CAE: Automated FEM Description Report
Altair
 
A way to reduce mass of gearbox housing
A way to reduce mass of gearbox housingA way to reduce mass of gearbox housing
A way to reduce mass of gearbox housing
Altair
 
The Team H2politO: vehicles for low consumption competitions using HyperWorks
The Team H2politO: vehicles for low consumption competitions using HyperWorks The Team H2politO: vehicles for low consumption competitions using HyperWorks
The Team H2politO: vehicles for low consumption competitions using HyperWorks
Altair
 
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...
Altair
 

More from Altair (20)

Altair for Manufacturing Applications
Altair for Manufacturing ApplicationsAltair for Manufacturing Applications
Altair for Manufacturing Applications
 
Smart Product Development: Scalable Solutions for Your Entire Product Lifecycle
Smart Product Development: Scalable Solutions for Your Entire Product LifecycleSmart Product Development: Scalable Solutions for Your Entire Product Lifecycle
Smart Product Development: Scalable Solutions for Your Entire Product Lifecycle
 
Simplify and Scale FEA Post-Processing
Simplify and Scale FEA Post-Processing Simplify and Scale FEA Post-Processing
Simplify and Scale FEA Post-Processing
 
Designing for Sustainability: Altair's Customer Story
Designing for Sustainability: Altair's Customer StoryDesigning for Sustainability: Altair's Customer Story
Designing for Sustainability: Altair's Customer Story
 
why digital twin adoption rates are skyrocketing.pdf
why digital twin adoption rates are skyrocketing.pdfwhy digital twin adoption rates are skyrocketing.pdf
why digital twin adoption rates are skyrocketing.pdf
 
Can digital twins save the planet?
Can digital twins save the planet?Can digital twins save the planet?
Can digital twins save the planet?
 
Altair for Industrial Design Applications
Altair for Industrial Design ApplicationsAltair for Industrial Design Applications
Altair for Industrial Design Applications
 
Analyze performance and operations of truck fleets in real time
Analyze performance and operations of truck fleets in real timeAnalyze performance and operations of truck fleets in real time
Analyze performance and operations of truck fleets in real time
 
Powerful Customer Intelligence | Altair Knowledge Studio
Powerful Customer Intelligence | Altair Knowledge StudioPowerful Customer Intelligence | Altair Knowledge Studio
Powerful Customer Intelligence | Altair Knowledge Studio
 
Altair Data analytics for Healthcare.
Altair Data analytics for Healthcare.Altair Data analytics for Healthcare.
Altair Data analytics for Healthcare.
 
AI supported material test automation.
AI supported material test automation.AI supported material test automation.
AI supported material test automation.
 
Altair High-performance Computing (HPC) and Cloud
Altair High-performance Computing (HPC) and CloudAltair High-performance Computing (HPC) and Cloud
Altair High-performance Computing (HPC) and Cloud
 
No Code Data Transformation for Insurance with Altair Monarch
No Code Data Transformation for Insurance with Altair MonarchNo Code Data Transformation for Insurance with Altair Monarch
No Code Data Transformation for Insurance with Altair Monarch
 
Altair Data analytics for Banking, Financial Services and Insurance
Altair Data analytics for Banking, Financial Services and Insurance Altair Data analytics for Banking, Financial Services and Insurance
Altair Data analytics for Banking, Financial Services and Insurance
 
Altair data analytics and artificial intelligence solutions
Altair data analytics and artificial intelligence solutionsAltair data analytics and artificial intelligence solutions
Altair data analytics and artificial intelligence solutions
 
Are You Maximising the Potential of Composite Materials?
Are You Maximising the Potential of Composite Materials?Are You Maximising the Potential of Composite Materials?
Are You Maximising the Potential of Composite Materials?
 
Lead time reduction in CAE: Automated FEM Description Report
Lead time reduction in CAE:  Automated  FEM Description ReportLead time reduction in CAE:  Automated  FEM Description Report
Lead time reduction in CAE: Automated FEM Description Report
 
A way to reduce mass of gearbox housing
A way to reduce mass of gearbox housingA way to reduce mass of gearbox housing
A way to reduce mass of gearbox housing
 
The Team H2politO: vehicles for low consumption competitions using HyperWorks
The Team H2politO: vehicles for low consumption competitions using HyperWorks The Team H2politO: vehicles for low consumption competitions using HyperWorks
The Team H2politO: vehicles for low consumption competitions using HyperWorks
 
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...
 

Recently uploaded

Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
gerogepatton
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
gdsczhcet
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
Jayaprasanna4
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
BrazilAccount1
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
ViniHema
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
Vijay Dialani, PhD
 
space technology lecture notes on satellite
space technology lecture notes on satellitespace technology lecture notes on satellite
space technology lecture notes on satellite
ongomchris
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
AmarGB2
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Sreedhar Chowdam
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
SupreethSP4
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
zwunae
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
Pipe Restoration Solutions
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
Kerry Sado
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 

Recently uploaded (20)

Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
 
space technology lecture notes on satellite
space technology lecture notes on satellitespace technology lecture notes on satellite
space technology lecture notes on satellite
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 

A multidisciplinary teaching method in the aerospace engineering systems field at the Politecnico di Torino

  • 2. Purpose of this presentation • To present the effectiveness of a new teaching methods through all the graduation process for engineering students, ranging from the BSc to the MSc level, with the support of PhD students. • The organization of the learning process is a recurring process through the different academic years. More than two hundred undergraduate students in aerospace engineering at the Politecnico di Torino are involved in this teaching process.
  • 3. Purpose of this presentation • The process implicates theoretical lectures, computer laboratories, experimental workbench, and invited lecturers from the aerospace industry, and shows how different multidisciplinary concepts and models, useful for the aerospace systems design, can be presented and then worked again in the next courses. • An example concerning the flight control system is presented underlining how the models can be introduced at the third year (3°BSc), with the support of some engineering tools, and then reprised and developed in more details at the fifth year (2°MSC), with an effective and quick heritage of knowledge.
  • 4. Courses involved Course code Course Title Ects points Year 01OQDMN Introduction to Aerospace Engineering 6 1° BSc 01MZBLZ Aerospace System Engineering and On-Board Systems 6 3° BSc 01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc 01OQDMN 01MZBLZ 01PETMT Aerospace engineering BSc Aerospace engineering MSc 3D CAD modelling knowledge from other courses N° of students enrolled >200 N° of students enrolled >200 N° of students enrolled ~60
  • 5. BSc Aerospace Engineering Course The aim of the course is to provide a global description of the aerospace systems, pointing out how their architectures and characteristics have changed during the evolution of the technology development; they are complex products comprised of many subsystems which meet demanding customer and operational value requirements. This picture, applicable to any other technologically advanced engineering product, introduces to the system theory approach in the engineering field which is based on the necessity to cope with many inter- connections among the disciplines that will also be explored in details in the following of the engineering studies. This course adopts a holistic approach to the aerospace product, understood as a system along its whole lifecycle, covering: basic systems engineering; cost and weight estimation; basic aircraft performance; safety and reliability; lifecycle topics; aircraft subsystems; risk analysis and management; and system realization. This approach would provide the student with: 1) a sketch of the main characteristics and role of the different engineering disciplines concurring to the product design, 2) the strengthening of a mental logical scheme to better understand the connections among disciplines from the system engineering point of view. 01OQDMN Introduction to Aerospace Engineering 6 1° BSc
  • 6. Case study: Flight Mechanics and flight controls system. 3 lessons: a general description of performed functions and inter- connections among the other disciplines and aircraft sub- systems are presented. 01OQDMN Introduction to Aerospace Engineering BSc Aerospace Engineering Course
  • 7. BSc Aerospace Engineering Course Aircraft and spacecraft are complex products comprised of many systems which must meet demanding customer and operational lifecycle value requirements. The aim of this course is to provide the students with an understanding of the fundamental concepts of aerospace systems, in multi-disciplinary applications with complex interactions typical of the system design engineering. In particular, the course aims to expand the students’ knowledge of airborne systems, their role, design and integration, providing students with an appreciation of the considerations necessary when selecting aircraft on- board systems and the effect of systems on the aircraft as a whole, with a practical and qualitative appreciation of the systems which aircraft carry on-board to enable them to function safely and effectively. A quick overview on space system will be also given. Topics will include aviation fundamentals, basic airmanship, aerospace physics elements, basic aerodynamics, performances, stability & control, safety and operating costs. 01MZBLZ Aerospace System Engineering and On-Board Systems 6 3° BSc
  • 8. BSc Aerospace Engineering Courses Case study: flight controls system. 6 lessons: detailed description, design principles, performances, components and inter-connections among the other aircraft sub- systems are presented. 01MZBLZ Aerospace System Engineering and On-Board Systems
  • 9. BSc Aerospace Engineering Courses Computer laboratories: 4 lessons 1) Study of the aircraft manufacturer schemes and 3D taking of the real flight controls lines. 01MZBLZ Aerospace System Engineering and On-Board Systems
  • 10. BSc Aerospace Engineering Courses 01MZBLZ Aerospace System Engineering and On-Board Systems Longitudinal mechanic reversible control 2) 3D CAD modelling of the flight controls lines.
  • 11. BSc Aerospace Engineering Courses 3) 3D CAD modelling of the flight controls lines. 01MZBLZ Aerospace System Engineering and On-Board Systems
  • 12. BSc Aerospace Engineering Courses 4) Modelling of the controls lines within a multibody environment. 01MZBLZ Aerospace System Engineering and On-Board Systems Cinematic analysis Clashing control Gear ratio and ergonomic evaluation
  • 13. MSc Aerospace Engineering Course Subject fundamentals This course serves as an introduction to the modelling techniques of nonlinear lumped- parameters control systems, arising in aerospace engineering. Applications are drawn from aerospace servo-mechanisms, with special reference to primary flight controls. Lectures refer to the "V"-model of Systems Engineering, with special emphasis on the importance of the safety, requirements, and on the component and subsystem test and integration as well as functional testing. Moreover, the course also introduces some methods and techniques useful in the design of complex systems like Multidisciplinary System Design Optimization (MSDO) and Simultaneous Engineering (SE). 01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
  • 14. MSc Aerospace Engineering Course Expected learning outcomes Demonstrate knowledge about the systems design process and understand the role and the importance of the systems modelling, simulation and testing activities application along the design phases. Ability to create non linear models of different components of a typical aerospace control system. Ability to integrate low hierarchy models to define a more complex multidisciplinary model of a system by the use of commercial programming tools. Demonstrate knowledge and understanding about laboratory testing activity, managing control laws. Ability to conduct simple experiments on a laboratory workbench, carrying out test activities. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
  • 15. MSc Aerospace Engineering Course Delivery modes The course consists of lectures interspersed with hands-on practice (at least 40% of the total number of hours for the course) followed by exercises, based on the material covered in the lecture, with the continuous support of the teacher. The exercises are conducted in the computer laboratory mainly by the use of Matlab-Simulink tool. Several non-linear models of different types of recent aerospace servo-mechanisms (primary flight controls) are developed by the student under the teacher guide. The simulation results are discussed and compared. They are collected on a student’s individual project report to be discussed at the final exam. Practical exercises are also provided by a laboratory workbench representing a modern fly-by-wire primary flight controls scheme, with a position loop computer having a parametric gain settings unit, and a dedicated data acquisition board. The course is split into two parts: general and applicative. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
  • 16. MSc Aerospace Engineering Course General part Basics of model theory and time domain numerical simulation of lumped parameter systems techniques. System design engineering and role played by modelling, simulation and testing. "V"-model of Systems Engineering: needs identification, requirements formulation, concept generation and selection, trade studies, preliminary and detailed design; definition of component and subsystem test plan and integration, as well as functional verification testing. Types of nonlinearities of servo-mechanisms. Primary flight controls description, with special reference to fly-by-wire architectures integrating Electro Hydrostatic and Electro Mechanical Actuators (EHA and EMA). Basics of safety and reliability in systems design. Fault tolerant architectures for primary flight controls. Diagnostics and prognostics techniques in safety critical control systems. Application of numerical simulation on nonlinear servo-mechanism. General programming techniques for the non-linear numerical simulation starting from the existing sub-systems models; analysis and comparison between different approaches. Trade-off analysis between dynamical models, with different typology and complexity, of a specific component or sub-system. Relevant applications of aerospace dynamic systems. Commercial tools and techniques for system simulation. Analysis of the numerical problems of time domain simulation. Outline of multidisciplinary integrated design techniques: concurrent e simultaneous engineering (SE). Outline of the multidisciplinary design system optimization (MDSO) methodology. Generality of aerospace systems testing. Workbench and sensors calibration. Design of experiments techniques. Testing equipment and sensors integration. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
  • 17. MSc Aerospace Engineering Course Application part Modelling of flight controls components; 1) electro-mechanical parts: DC motor, variable displacement hydraulic pumps, screw jacks, hydraulic cylinders, flight control surfaces and mechanic links, 2) control and regulation parts: hydraulic servo-valves, relief valves, sensors, position control loop algorithms. Several models for each components will be developed with increasing level of complexity, including non-linear effects (clearances, coulomb friction, saturations, hysteresis, etc..). Complete electro-fluid-dynamic model of a servo-valve with fourth and third orders formulation. Possible simplification to the first order and instantaneous formulation. Pros and cons comparison. High lift device actuation unit modelling: hydraulic motor + fail safe transmission torsion shaft + linear actuators + no back brakes. Complete electro-fluid-dynamic model of a servo-valve + hydraulic cylinder with a position control loop: sixth and fifth order formulation. Simplification to the orders 3 and 2; pros and cons comparison. Two stages electro-hydraulic servo-valves: spool as a second stage; types of first stage piloting control loop: flapper- nozzle, jet-pipe, jet-deflector. Working principles jet-pipe and comparisons with the other types. Description of the classical dynamic behaviour during the interaction of the two stages of the valve. Analysis of the effects of the model simplifications on the actuation time constants. Integration of the models into a complete actuation system of a fly-by-wire control, aircraft flight mechanics included. Parametric analysis of the numerical behaviour of the developed models when simulating. Definition of figures of merit to characterize the performance of the system model with respect of the design requirements. Definition of a testing plan to be implemented on the experiments workbench. Implementation of diagnostic logics, failure management criteria and fault tolerance characteristics. Definition of a simple case study of multidisciplinary design optimization applied to a primary flight control. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems 12 2° MSc
  • 18. 1) Model theory and time domain numerical simulation of lumped parameter systems techniques. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems MSc Aerospace Engineering Course f Actuator mode (20 60Hz) 18 0° 90° 27 0° -40dB/decade -80dB/decade GdB  Servo-valve mode (200400Hz) Second order (actuator) Second order (servo-valve)
  • 19. 2) Definition of the requirements: loads, speed of actuation, etc.. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems Performance Never exceed speed: 795 km/h (430 knots, 495 mph) Maximum speed: 740 km/h (400 knots, 460 mph) Stall speed: 156 km/h (84 knots, 97 mph) Range: 1,778 km (960 nm, 1,105 miles) Service ceiling: 12,190 m (40,000 ft) Rate of climb: 1,438 m/min (4,720 ft/min) Thrust/weight: 0.452:1 Acceleration limits: +7.33g (+71.9 m/s²)/−3.5g (−34 m/s²) MSc Aerospace Engineering Course
  • 20. 2) … and frequency response 01PETMT Modelling, Simulation and Testing of the Aerospace Systems Frequency (Hz) Phase(°) -120 -100 -80 -60 -40 -20 0 0,1 1 10 100 -25 -20 -15 -10 -5 0 5 0,1 1 10 100 Gain(dB) Frequency (Hz) Large amplitude gain boundary Small amplitude gain boundary MSc Aerospace Engineering Course
  • 21. MSc Aerospace Engineering Course Next planned steps: Resumption of the MotionView models of the primary flight controls. Definition of materials and inertia characteristics, and refinement of the model. Analysis within the MotionSolve tool to verify some mechanical requirements (dynamic stiffness, frequency response, etc..). Optimization of the configuration using HyperStudy tool, involving control laws. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems
  • 22. MSc Aerospace Engineering Course Verification of the optimization results with a dedicated workbench test activities. 01PETMT Modelling, Simulation and Testing of the Aerospace Systems
  • 23. MSc Aerospace Engineering Course 01OQDMN 01MZBLZ 01PETMT Aerospace engineering BSc Aerospace engineering MSc 3D CAD modelling knowledge from other courses Altair MotionView Altair HyperStudy Altair MotionSolve