How to Model, Optimize, Calibrate, and Control Energy Systems
Energy systems are complex nonlinear systems that require advanced modelling and control techniques to achieve optimal performance, efficiency, and emissions. Traditionally, the development and calibration of these systems involve tedious and time-consuming processes that rely on extensive testing and manual tuning. However, with the advent of model-based design and calibration tools, these challenges can be overcome by using a streamlined and automated workflow.
Why Model-Based Design and Model-Based Controls?
If you are working on complex systems such as motion control, industrial equipment, aerospace, or automotive applications, you might have heard of model-based design (MBD). But what is it and why should you use it?