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 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.

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Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).