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Research Article Open AccessOrclever Native
Dynamic Parameter Estimation for a Washing Machine
Yongki Yoon1,
Zeynep Erenay2,
Ahmet Kubilay Şavkan3
1Arçelik A.Ş., Washing Machine R&D Center
2Arçelik A.Ş., Washing Machine R&D Center
3Arçelik A.Ş., Washing Machine R&D Center
Published:December 31, 2022
DOI: 10.56038/oprd.v1i1.207
Vol. 1, No. 1 · pp. 283–294
Abstract
In this study, an analytical concept is explored in the simulation environment, and an unbalanced load detection technique is examined to determine its applicability. To continue the development process, a mathematical model for a horizontal washer is developed to comprehend the characteristics of an unbalanced load with respect to various sizes of balanced loads. The mathematical model is then divided into a regressor vector and an estimator vector. Finally, estimates of the unbalanced load, the unbalance location, and the rotational moment of inertia are compared to their references in the simulation environment.
Keywords
Washing machineDynamic parametersParameter estimationUnbalanced MassRecursive least square
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Cite This Article
Yoon, Y., Erenay, Z., Şavkan, A. K. (2022). Dynamic Parameter Estimation for a Washing Machine. *Orclever Proceedings of Research and Development*, 1(1), 283-294. https://doi.org/10.56038/oprd.v1i1.207
Bibliographic Info
JournalOrclever Proceedings of Research and Development
Volume1
Issue1
Pages283–294
PublishedDecember 31, 2022
eISSN2980-020X