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Syllabus for

Academic year
ESS101 - Modelling and simulation
 
Syllabus adopted 2015-02-17 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
Open for exchange students
Block schedule: A

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0107 Examination 4,5 c Grading: TH   4,5 c   28 Oct 2015 am H,  07 Jan 2016 pm H,  22 Aug 2016 am M
0207 Laboratory 3,0 c Grading: UG   3,0 c    

In programs

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

Examiner:

Docent  Paolo Falcone


Replaces

ESS100   Modelling and simulation


Eligibility:


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

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

Aim

Modeling and simulation are important tools supporting engineers in the development of complex systems, from early study of the system concept (when the system possibly does not exist yet) to model-based control design and optimization of system performance. Application areas where modeling and simulation are fundamental tools are, just to mention a few, control, automotive, biomedical, mechanical, chemical engineering.
The aim of the course is to provide solid theoretical basis and practical approaches to systematically develop mathematical models of engineering systems from basic physical laws and from experimental data and to use them for simulation purposes.

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

The aim of the course is to provide an introduction to the methods and principles used in constructing mathematical models in dynamical systems and in practical applications.


The course cover model design based on basic physical principles as well as system identification, i.e., modeling based on measured data from sensors. It will also show how to use simulations to investigate the properties of a model.



  • 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 simplify the model with different techniques.

  • Use and have experienced implementation of mathematical models in computer simulation tools.

  • Study properties of the most important numerical simulation methods.

Content

The course covers the following topics: 

  • Physical Modeling
    • Three-phase method 
    • Bond graphs: Analogies for electrical, mechanical and fluid dynamical systems 
    • Object oriented modeling 
  • System identification: 
    • Non-parametric methods 
    • Parametric methods 
    • Practical aspects of system identification 
    • Model validation 
  • Simulations: 
    • Numerical methods for solving differential equations 
    • Differential Algebraic Equations (DAE)

Organisation

The course covers approximately 15 lectures, 7 problem solving sessions and a lab assignment.

Literature

- 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.


Page manager Published: Mon 28 Nov 2016.