Model identification and controller design for servomotor

The availability of modern tools such as Matlab System Identification Toolbox and LabVIEW System Identification Toolkit make plant model identification using experimental data easy to be implemented and less cumbersome than using Physic laws. This method can provides reliable and approximate model structure. Currently, many researchers keen on using Matlab System Identification Toolbox to approximate their plant models. This paper presents model identification using Matlab System Identification Toolbox from open-loop input-output experimental data that obtained from a Quanser DC servomotor. The reliability of obtained model was tested by designing feedback control system using pole-placement method. Simulation and real-time studies were conducted to show the reliability of the obtained model. Results show that the obtained model shows acceptable performances in both the simulation and real-time studies.