Identification and Modeling of the Dynamical Object with the use of HIL Technique

Abstract

This article presents a comparison of a classical approach to identification of unstable object and an approach based on artificial neural networks. Model verification is carried out based on the Quanser Qube-Servo object with the using of myRIO Real-Time controller as target. It is shown that model identification using neural networks gives a more accurate representation of the object. In addition, the Hardware-in-the-loop (HIL) technique is discussed and used, for implement of the control algorithm.