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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
ESS101 - Modelling and simulation
 
Syllabus adopted 2008-02-21 by Head of Programme (or corresponding)
Owner: MPSYS
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Automation and Mechatronics Engineering, Electrical Engineering
Department: 32 - ELECTRICAL ENGINEERING


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0107 Examination 4,5c Grading: TH   4,5c   21 Oct 2008 pm H,  12 Jan 2009 pm V,  18 Aug 2009 pm V
0207 Laboratory 3,0c Grading: UG   3,0c    

In programs

MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Year 1 (elective)
MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Year 2 (elective)
MPEPO ELECTRIC POWER ENGINEERING, MSC PROGR, Year 2 (elective)
MPSYS SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR, Year 1 (compulsory)

Examiner:

Docent Jonas Fredriksson
Docent Paolo Falcone  Responsible: Programansv Z Decision date: 2008-07-02


Replaces

ESS100   Modelling and simulation

Course evaluation:

http://document.chalmers.se/doc/1513558862


Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

Basic knowledge in automatic control, mathematical transforms, mechanics and electric circuits.

Aim

To help engineers working with development of complex systems, modelling and simulation are important tools. Modelling and simulation can be used both for synthesis and verification of functionality. It can also be used for complete system performance analysis and support decisions concerning strategic choices during the development process. Application areas where modelling and simulation is an important tool is automotive engineering, chemical process engineering, production engineering etc.
The aim of the course is to provide how to systematically build mathematical models of industrial systems from basic physical laws and from measured signals. Further, to use models in simulation to investigate system s properties, and to investigate design alternatives.

Learning outcomes (after completion of the course the student should be able to)

Use methods and tools to develop mathematical models of dynamical systems by using basic physical laws.
Use methods and tools to develop mathematical models of dynamical systems from measurement data, including stochastic models of disturbances.
understand object-oriented modelling principles for making reusable simulation models.
Critically assess model quality and apply model simplification in various ways, such as linearization and remove unnecessary states.
Use and have experienced implementation of mathematical models in computer simulation tools.
Integrate and gather knowledge and information of different types and detail, and to handle complexity at the systems level by abstraction, modularization, hierarchy, and other systems engineering techniques for model development.
Apply a systematic work model going from model requirements to implementation and you should have experienced solving a modelling assignment in a team.
Describe and motivate your technical solutions in oral presentation and written documentation to technical as well as non-technical specialists.

Content

The course covers the following topics:

Physical modelling:
Three-phase method for developing models
Bond graphs
Analogies for electrical, mechanical and fluid dynamical systems
Object oriented modelling
System identification:
Non-parametric methods
Parametric methods
Practical aspects of system identification
Model validation

Simulations:
Numerical methods for solving differential equations
Simulation tools like Dymola and MATLAB/Simulink

Organisation

The course covers approximately 15 lectures, 10 exercises and assignments/laborations.

Literature

Not decided yet

Examination

Examination is based on written exam, grading scale TH, and passed assignments/laborations.


Page manager Published: Thu 04 Feb 2021.