Szczegóły publikacji
Opis bibliograficzny
Balance platform model parameter identification / Agata NAWROCKA, Andrzej KOT // Diffusion and Defect Data – Solid State Data. Part B, Solid State Phenomena ; ISSN 1012-0394. — 2013 — vol. 198, s. 439–444. — Bibliogr. s. 444, Abstr. — Mechatronic systems and materials IV / eds. Zdzislaw Gosiewski, Zbigniew Kulesza
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 74292 |
|---|---|
| Data dodania do BaDAP | 2013-08-06 |
| Tekst źródłowy | URL |
| DOI | 10.4028/www.scientific.net/SSP.198.439 |
| Rok publikacji | 2013 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Diffusion and Defect Data. Solid State Data, Part B. Solid State Phenomena |
Abstract
In the first stage of the identification process was to build a model describing the system, using the measurement data recorded on input and output system [3]. The model was built without the knowledge of the mechanisms that occur in the process, only based on the relationship between the collected data. As an input parameter the defined type of motion was used, next converted to digital form by the real-time computer and sent to the axes control card. While the output signal was registered as a change of encoders position. Sampling time 20 ms was adopted. For each axis separately recorded measurements (signals were with different amplitudes and frequencies of motion tape device) [1]. In the next step the estimation was performed for the selection suitable algorithm, and the determination the parameters of model selected in the previous step [2]. The last step was to verify, to check the results of identification process. By comparing the signals obtained in response to a signal given the model of a registered object actual output signal, it is possible to visually estimate the accuracy of the identification and designation of the error. The last part of the article shows the results of various tests.
