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Institutionernas kurser för doktorander

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Kursplan för

Läsår
ESS101 - Modelling and simulation
 
Kursplanen fastställd 2010-02-23 av programansvarig (eller motsvarande)
Ägare: MPSYS
7,5 Poäng
Betygskala: TH - Fem, Fyra, Tre, Underkänt
Utbildningsnivå: Avancerad nivå
Huvudområde: Automation och mekatronik, Elektroteknik
Institution: 32 - ELEKTROTEKNIK


Undervisningsspråk: Engelska

Modul   Poängfördelning   Tentamensdatum
Lp1 Lp2 Lp3 Lp4 Sommarkurs
0107 Tentamen 4,5 hp Betygskala: TH   4,5 hp   18 Okt 2010 em H,  10 Jan 2011 em M,  16 Aug 2011 em V
0207 Laboration 3,0 hp Betygskala: UG   3,0 hp    

I program

MPSYS SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR, Årskurs 1 (obligatorisk)
MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Årskurs 1 (valbar)
MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Årskurs 2 (valbar)
MPEPO ELECTRIC POWER ENGINEERING, MSC PROGR, Årskurs 2 (valbar)

Examinator:

Docent  Paolo Falcone


Ersätter

ESS100   Modellbygge och simulering

Kursutvärdering:

http://document.chalmers.se/doc/1135239014


Behörighet:

För kurser inom Chalmers utbildningsprogram gäller samma behörighetskrav som till de(t) program kursen ingår i.

Kursspecifika förkunskaper

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

Syfte

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.

Lärandemål (efter fullgjord kurs ska studenten kunna)

  • 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.
  • Innehåll

    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.

    Litteratur

    - T. Glad, L. Ljung: Modellbygge och simulering (Studentlitteratur). English version available.


    - Supplementary material.


     

    Examination

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


    Sidansvarig Publicerad: må 13 jul 2020.