How do you take a physics-based model from simulation to a controller running on real hardware—while maintaining a connected workflow across modeling, controls, simulation, and deployment?
In this hands-on webinar, you’ll see how a 3D multibody model can be used to develop, test, and deploy a real-time control system. Using a Quanser Pendulum as a practical example, we’ll walk through the process from physics-based modeling and simulation to code generation, hardware deployment, and experimental analysis.
You’ll see how to:
Build and simulate a 3D model of a Quanser Pendulum using Modelica Multibody components
Design, simulate, and tune a control system
Generate C code from the model and deploy it to a Raspberry Pi
Connect the simulated control architecture to physical hardware
Stream and analyze real-time experimental data
Identify physical parameters such as friction and back-EMF through experiments
Throughout the demonstration, we’ll use Dyad to show how these techniques come together in a continuous engineering workflow, from physics-based modeling and simulation to real-time control and hardware deployment.
Register now!
