Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Error modeling for automated construction equipment
The error attributes of a hydraulically actuated large scale manipulator were analyzed by using regression analysis. In the regression analysis, three variables, distance, hydraulic pressure, and payload, were individually varied to find the position error attributes of the LSM (Large-Scale Manipulator). Distance had a somewhat significant effect on the directional error in the Z axis (as distance increased, random errors in the Z axis increased). Hydraulic pressure and payload had significant effect on the overall error (as hydraulic pressure decreased and payload increased, random error increased). Although, the testing was performed in a small working volume due to the limited mobility of the LSM on its fixed frame, this study reduced about 30 % of the average positioning errors of the LSM with an integrated multi-variable regression model. Thus, it is sufficient to indicate whether a descriptive model or a regression model is feasible. The substantial number of the unsolved errors (about 70 %) may be statistically solved by adding more conditional variables which possibly affect the manipulator's position errors.
Error modeling for automated construction equipment
The error attributes of a hydraulically actuated large scale manipulator were analyzed by using regression analysis. In the regression analysis, three variables, distance, hydraulic pressure, and payload, were individually varied to find the position error attributes of the LSM (Large-Scale Manipulator). Distance had a somewhat significant effect on the directional error in the Z axis (as distance increased, random errors in the Z axis increased). Hydraulic pressure and payload had significant effect on the overall error (as hydraulic pressure decreased and payload increased, random error increased). Although, the testing was performed in a small working volume due to the limited mobility of the LSM on its fixed frame, this study reduced about 30 % of the average positioning errors of the LSM with an integrated multi-variable regression model. Thus, it is sufficient to indicate whether a descriptive model or a regression model is feasible. The substantial number of the unsolved errors (about 70 %) may be statistically solved by adding more conditional variables which possibly affect the manipulator's position errors.
Error modeling for automated construction equipment
Fehlersimulation für automatisierte Bauausrüstung
Cho, Y.K. (Autor:in) / Haas, C.T. (Autor:in) / Sreenivasan, S.V. (Autor:in) / Liapi, K. (Autor:in)
2002
8 Seiten, 4 Bilder, 5 Tabellen, 6 Quellen
Aufsatz (Konferenz)
Englisch
Position Error Modeling for Automated Construction Manipulators
| Online Contents | 2004
Position Error Modeling for Automated Construction Manipulators
| British Library Online Contents | 2004
Automated Monitoring of the Utilization Rate of Onsite Construction Equipment
| British Library Conference Proceedings | 2017