State Estimation in a Hydraulically Actuated Log Crane Using Unscented Kalman Filter

State Estimation in a Hydraulically Actuated Log Crane Using Unscented Kalman Filter

Multibody system dynamics approaches together with state estimation methods can reduce the need for a large number of sensors, especially in the digital twin of working mobile machinery. To demonstrate this, a hydraulically actuated machine was modeled using the double-step semi-recursive multibody...

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Bibliographic Details
Main Authors: Qasim Khadim, Yashar Shabbouei Hagh, Lauri Pyrhonen, Suraj Jaiswal, Victor Zhidchenko, Emil Kurvinen, Jussi Sopanen, Aki Mikkola, Heikki Handroos
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
State estimation
multibody system dynamics
hydraulic actuators
unscented Kalman filter
working machine
digital twin
Online Access:https://ieeexplore.ieee.org/document/9785991/

Internet

https://ieeexplore.ieee.org/document/9785991/

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