This research aims to investigate the suitability of adaptive methods for state estimators based on multibody dynamics. The study focuses on exploring the performance of a Kalman filter in the presence of severe non-linearities. The goal is to develop a robust and efficient state observer that can accurately estimate the state of complex systems. The research will contribute to the development of advanced control strategies for multibody systems, enabling the design of more efficient and reliable systems.