Szczegóły publikacji
Opis bibliograficzny
Packet buffering, dead time identification, and state prediction for control quality improvement in a networked control system / Andrzej TUTAJ, Wojciech GREGA // W: Trends in Advanced Intelligent Control, Optimization and Automation : proceedings of KKA 2017 — the 19th Polish Control Conference, Kraków, Poland, June 18–21, 2017 / eds. Wojciech Mitkowski, [et al.]. — Switzerland : Springer International Publishing, cop. 2017. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 577). — ISBN: 978-3-319-60698-9; e-ISBN: 978-3-319-60699-6. — S. 138–152. — Bibliogr. s. 151–152, Abstr. — Publikacja dostępna online od: 2017-06-07
Autorzy (2)
Słowa kluczowe
packet queueingstate predictionstate reconstructionLuenberger state observerpacket dropoutleast mean squares methodDC motor servomechanismdelay time identificationservo controltracking controlnetwork induced time-varying communication delaylinear quadratic controllerdistributed control systemsstate estimationnetworked control systemspacket buffering
Dane bibliometryczne
| ID BaDAP | 106480 |
|---|---|
| Data dodania do BaDAP | 2017-06-30 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-60699-6_15 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | Krajowa Konferencja Automatyki |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
Time-varying communication delays, data packet dropping, and other network-induced phenomena are inherent in networked control systems. Their presence can deteriorate noticeably control quality and narrow stability margins forcing designers to adopt conservative controller tuning. Control quality drop can be to some extent remedied by employment of network packet buffering or queuing, finite horizon state estimation, and continual time delay identification methods applied to networked control loops. The paper presents a modular structure for a networked control system where the named techniques are deployed in a network node located on the actuator site. A case study for a DC motor servomechanism and a periodic trajectory tracking problem is given. Simulation results are provided.
