Szczegóły publikacji
Opis bibliograficzny
NSSM-based tuning of industrial cascade motion control for an overhead crane / Bartłomiej Pajdziński, Patryk BAŁAZY, Adam Szulecki // W: 27th International Carpathian Control Conference (ICCC) [Dokument elektroniczny] : 1-3 June 2026, Szilvásvárad, Hungary : proceedings. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2026. — Print on Demand(PoD) ISBN: 979-8-3195-3321-0. — e-ISBN: 979-8-3195-3320-3. — S. 352–357. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 356–357, Abstr. — Publikacja dostępna online od: 2026-07-07
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169802 |
|---|---|
| Data dodania do BaDAP | 2026-10-02 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ICCC71363.2026.11593390 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
This paper presents a practical methodology for tuning an industrial cascade motion controller for planar overhead crane operation using a data-driven digital twin. A neural state-space model identified from experimental data is used as a high-fidelity simulation environment for offline tuning of a control architecture consisting of a trapezoidal velocity profile generator, an outer position loop, and an inner velocity loop. The tuning objective is to reduce payload sway by shaping the reference motion rather than by direct sway feedback. The controller is evaluated in closed-loop simulations for three transfer scenarios involving simultaneous horizontal motion and hoisting. Results show satisfactory positioning performance while maintaining sway close to the adopted safety threshold, demonstrating the usefulness of a neural digital twin for controller tuning prior to physical implementation.
