Training

Events

June 1-3, 2015 in Dolní Morava, Czech Republic

Conference for numerical simulation

Jun 6-8, 2016 in Würzburg

Conference for technical aspects in the design and use of modern connectors

Jun 7-8, 2016 in Munich

Computer-aided engineering conference in the automotive industry.

Jun 12-15, 2016 in Linz

Challenges in Forming High-Strength Sheets

Jun 6, 2016 in Winterthur

Conference for numerical simulation

News

Library RDO Journal Weimar Optimization and Stochastic Days Newsletter Quarter 2_2016 Dynardo...

Dynardo GmbH is proud to announce that Dynardo’s optiSLang, leading edge software for CAE-based...

Release note optiSLang 5.0.0 more information about optiSLang 5 more information about optiSLang...

Library

Training

Aug 12, 2016 in Lein.-Echt.
Nov 18, 2016 in Berlin
Nov 24, 2016 in Aadorf

Jun 6-8, 2016 in Weimar

Jun 9, 2016 in Weimar
Jun 22, 2016 in Weimar (WOST 2016)

Jun 9 in Vienna
Aug 10, 2016 in Lein.-Echt.
Sep 7, 2016 in Renens
Nov 16, 2016 in Berlin
Nov 22, 2016 in Aadorf

Jun 10, 2016 in Weimar
Jun 22, 2016 in Weimar
Nov 15, 2016 in Vienna

Jun 22 in Hanover
Sep 30, 2016 in Lein.-Echt.
Dec 9, 2016 in Grafing

Webinar: optiSLang and SimulationX

This webinar will show you how to generate a SimulationX model on the basis of model calibration and optimization. The methodology will be described by using the example of a simple control loop.

The transmission behavior of the dynamic system to be controlled should correspond to the behavior of a real measured system as much as possible. During this webinar, it will explained how to integrate the SimulationX model into optiSLang and to calibrate the transfer function to the existing measurement data of the system by using a sensitivity analysis and optimization. Afterwards, the same methods will be used to design an optimal loop controller.

Content

SimulationX-model
SimulationX-model
MOP-results
MOP-results
Optimized controller signal
Optimized controller signal

1 Overview of optiSLang's graphical user interface

2 Process integration

  • Integration of SimulationX models
  • Definition of input and output parameters
  • Extraction of result variables from time step-based data

3 Application of a sensitivity analysis

  • Definition of the parameter spaces and Design of Experiments
  • Metamodel of Optimal Prognosis (MOP)

4 Solution methods for optimization tasks

  • Definition of objective function and constraints
  • Optimization of the SimulationX model

Details

Instructor: 
M. Eng. Stefan Marth

Date:
to be announced
Please register not later than 1 day prior to the event date.

Language:
English

Time:
9-10 am and 4-5 pm (local time-Berlin)

Fee: 
free of charge