Szczegóły publikacji
Opis bibliograficzny
PID and FOPID controllers combinations during control of 3D crane optimized with GWO algorithm / Jakub ŻEGLEŃ-WŁODARCZYK, Klaudia Wajda // W: Automation 2022: new solutions and technologies for automation, robotics and measurement techniques : [conference : May 25–27, 2022, Warsaw, Poland] / eds. Roman Szewczyk, Cezary Zieliński, Małgorzata Kaliczyńska. — Cham : Springer Nature Switzerland, cop. 2022. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 1427). — ISBN: 978-3-031-03501-2; e-ISBN: 978-3-031-03502-9. — S. 54–63. — Bibliogr., Abstr. — Publikacja dostępna online od: 2022-04-16
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 141754 |
|---|---|
| Data dodania do BaDAP | 2022-08-31 |
| DOI | 10.1007/978-3-031-03502-9_6 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
The article presents 3D crane control of all three axes (XYZ) and both angles (α and β). PID controllers and their fractional counterparts - FOPID controllers, which have two additional parameters, were used. Previous research focused on a direct comparison of the two types of controllers. This time, the authors used various combinations to check which part of the system influences the quality of control the most. The model and simulations were implemented in the Matlab/Simulink environment. Grey-Wolf Optimizer was used to optimize the controller coefficients. Several combinations of PID and FOPID controllers were compared (e.g. 2 PID controllers on the XY axes and 3 FOPID controllers on the Z axis and α and β angles).