Szczegóły publikacji
Opis bibliograficzny
Constrained generalized predictive control with particle swarm optimizer for an overhead crane / Jarosław SMOCZEK, Janusz SZPYTKO // W: MMAR 2017 : 22nd international conference on Methods and Models in Automation and Robotics : 28–31 August 2017, Międzyzdroje, Poland : program, abstracts. — Szczecin : ZAPOL, [2017]. — ISBN: 978-83-7518-844-8. — S. 85. — Pełny tekst na Dysku Flash. — S. 756–761. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 761, Abstr. — ISBN: 978-1-5386-2402-9. — Toż w: https://goo.gl/ZbXXA2
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 109130 |
|---|---|
| Data dodania do BaDAP | 2017-10-02 |
| DOI | 10.1109/MMAR.2017.8046923 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | International Conference on Methods and Models in Automation and Robotics 2017 |
Abstract
The paper focuses on multivariable generalized predictive control (GPC) of an underactuated overhead crane with constraints on manipulated variable and sway angle of a payload. The adaptive control scheme is developed based on the discrete-time linear parameter varying model of a crane dynamic identified using the recursive least square (RLS) algorithm with parameter projection. Particle swarm optimization (PSO) is applied to solve the optimization control problem subject to hard constraint on control signal and the soft constraint payload deflection in the transient state. The feasibility and applicability of the proposed control approach is confirmed using a laboratory scaled overhead crane for different constraint and operating conditions. © 2017 IEEE.
