Finn Haugen

Case-study: Simulator-based control system tuning and testing using an estimated process model

A mathematical model of a process to be controlled can be used for off-line tuning and testing of control systems for the process. The tuning and testing can be performed using analytical methods or using simulations. The benefit of simulations in this respect is that it is straight-forward to include non-linearities in the model. This presentation demonstrates the application of commercially available functions for system identification and simulation, and control design. Focus is on functions available in National Instrument's LabVIEW, but similar functions are available in other tools, as MATLAB. The presentation shows a practical application, namely a speed servo for a DC motor.