<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this article the issues related to mapping the route and error correction in automated guided vehicle (AGV) movement have been discussed. The nature and size of disruption have been determined using the registered runs in experimental studies. On the basis of the analysis a number of numerical runs have been generated, which mapped possible to obtain runs in a real movement of the vehicle. The obtained data set has been used for further research. The aim of this paper was to test the selected methods of digital filtering on the same data set and determine their effectiveness. The results of simulation studies have been presented in the article. The effectiveness of various methods has been determined and on this basis the conclusions have been drawn.</p></abstract>

In this article the issues related to mapping the route and error correction in automated guided vehicle (AGV) movement have been discussed. The nature and size of disruption have been determined using the registered runs in experimental studies. On the basis of the analysis a number of numerical runs have been generated, which mapped possible to obtain runs in a real movement of the vehicle. The obtained data set has been used for further research. The aim of this paper was to test the selected methods of digital filtering on the same data set and determine their effectiveness. The results of simulation studies have been presented in the article. The effectiveness of various methods has been determined and on this basis the conclusions have been drawn.

Selection of Filtration Methods in the Analysis of Motion of Automated Guided Vehicle

Faculty of Management, Rzeszów University of Technology, Al. Powstańców Warszawy 10, 35-959 Rzeszów, Poland

Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, Al. Powstańców Warszawy 8, 35-959 Rzeszów, Poland

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In this article the issues related to mapping the route and error correction in automated guided vehicle (AGV) movement have been discussed. The nature and...

Selection of Filtration Methods in the Analysis of Motion of Automated Guided Vehicle

Pubblicato online: 19 ago 2016

Pagine: 183 - 189

Ricevuto: 22 feb 2016

Accettato: 08 lug 2016

DOI: https://doi.org/10.1515/msr-2016-0022

Parole chiave
Filtration, Gaussian regression filter, spline filter, automated guided vehicle, position error, odometry

© 2016 Dobrzańska Magdalena et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Selection of Filtration Methods in the Analysis of Motion of Automated Guided Vehicle

Pubblicato online: 19 ago 2016

Pagine: 183 - 189

Ricevuto: 22 feb 2016

Accettato: 08 lug 2016

DOI: https://doi.org/10.1515/msr-2016-0022

Parole chiaveFiltration, Gaussian regression filter, spline filter, automated guided vehicle, position error, odometry

© 2016 Dobrzańska Magdalena et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Filtration, Gaussian regression filter, spline filter, automated guided vehicle, position error, odometry