Digital Twin Engineering (DTE)

  • Typ: Lecture
  • Zielgruppe: Master ETIT or Mechatronic
  • Lehrstuhl: IRS-VSA
  • Zeit/Ort:

    Wednesday 15:45 LTI Lecture Hall
    26.10.2022 - 15.02.2023

  • Beginn: WT 22/23 - 26.10.2022
  • SWS: 2
  • ECTS: 4
  • LVNr.: 23230 1486
  • Hinweis:

    Lecture in English Language

Lecturer DTE

Prof. Mike Barth

Lecturer
   

Overview DTE

WT 22/23

The first lecture will take place on Wednesday (date t.b.d.) 15:45 LTI Lecture Hall

Recommendations

Enjoyment and interest in simulation in general. The basic handling of programming languages should not be a hurdle. Enjoyment in the implementation of physical equations with parameters, variables and constants. Enjoyment of digitization and virtual engineering in particular.

Target Audience

Elective Module in
A)  Master ETIT SPO 2018 within the Specializations:

  • 5 (Regelungs- und Steuerungstechnik)
  • 8 (Information und Automation) und 13 (Systems Engineering)

B)  Master "Mechatronik und Informationstechnik" as a specialization in

  • Industrial Automation
     

Teaching Content

  • This module is designed to provide students with the theoretical and practical aspects of object-theoretic equation-based modeling.
  • This module also provides a definition of the digital twin and its aspects of the management shell.
    • In this context, a classification of simulation models in the I4.0 VWS takes place.
  • Both system simulation in the Open Modelica Editor (OME) and co-simulation with Functional Mockup Units (FMU) will be covered.
  • Students create a new model library of a mechatronic system in a semester-long project (teams of 3-4 students).
  • The module provides an overview of modern system simulation methods based on bidirectional flow and potential modeling.
  • Beyond theoretical and practical modeling, the module imparts the knowledge about practice-relevant modeling levels or depths.
  • Furthermore, quality standards for simulation models with focus on the engineering of plants/systems are discussed.

 

Literature

 

Course Material  

Workload

The workload includes:
1.    attendance in lectures an exercises: 10*1,5 h = 15 h
2.    preparation / follow-up: 15*2 h = 30 h
3.    Implementation of the model library: 60 h
4.    preparation of and attendance in the final presentation: 15 h

A total of 120 h = 4 CR

Goals

The students

  • know the mathematical basics and the fundamental methods and algorithms to solve constrained and unconstrained nonlinear static optimization problems.
  • can solve constraint and unconstraint dynamic optimization by using the calculus of variations approach and the Dynamic Programming method.
  • are able to transfer dynamic optimization problems to static problems.
  • know the mathematic relations, the pros and cons and the limits of each optimization method.
  • can transfer problems from other fields of their studies in a suitable optimization problem formulation and they are able to select and implement appropriate optimization algorithms for them by using common software tools
Examination
(T-ETIT-112224)
The examination takes place in form of other types of examination. It consists of a model library developed in the course of a semester-long project in the modeling language Modelica and a presentation of the library lasting 25 minutes. The quality of the model library is evaluated within the framework of the criteria: documentation, formal correctness, functionality, usability, HMI and modeling level of detail. The presentation is evaluated as an additional aspect and is included in the overall grade with 20 percent.

Module Grade

The assessment of the developed model library and the presentation of the library will be included in the module grade. More details will be given at the beginning of the course.