Model Based Design and Digital Twin – webinar by Devecto and MathWorks

Time: Thursday 20 May 2021 at 9.00-11.00 CEST

What is the most efficient way of designing and implementing control logic to your machine or device? How can you detect changes in the behavior of your machine or device using a digital twin?

In this webinar jointly brought to you by Devecto and MathWorks we will show you hands-on how model based design works. We will create a system model of a machine, use this model to implement an efficient model based controller for the machine, and deploy the controller to a target HW. We will also show you how this same system model of the machine can be utilized as a physics based digital twin. The digital twin is deployed to Microsoft Azure environment and used to identify changes in key parameters of the model. Typically these key parameters are used for example for predictive maintenance or detecting the operating mode of the machine – to name just a few possibilities.

• Create a system model of a machine or device
• Implement an efficient control algorithm based on the system model and deploy the algorithm on a target HW – a Bosch Rexroth ECU in this case.
• Use the same system model as a digital twin and deploy it to Microsoft Azure environment
• Use the digital twin to identify changes in the key parameters of the system model. These parameters could be friction, mass or any other parameters that can be used for example in predicting maintenance needs or detecting operating modes of the machine.

Read mode about model based design in one of our earlier blog posts:
Why model-based design? Simulation and testing should be part of software development

Anyone working with machine or device control, embedded software developers, engineering managers.

Presenters:

Petri Mantere, Senior SW engineer at Devecto
Miika Ahopelto, Senior SW engineer at Devecto
Antti Löytynoja, Application Engineer at MathWorks