Identification and Modeling of the Dynamical Object with the Use of Hil Technique

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 use of myRIO real-time controller as the 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 implementation of the control algorithm.