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Investigation of virtual sensing techniques on a rear twistbeam suspension by performing multiple-input/state estimation
Boekbijdrage - Boekhoofdstuk Conferentiebijdrage
© Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics. All rights reserved. The identification of external loads acting on a mechanical system represents a challenging target for many applications. The knowledge of these forces in operational conditions represents a potential benefit for durability and NVH assessments. In this paper, two indirect load identification strategies are presented: i) a time-domain TPA approach based on matrix inversion, and ii) a Kalman approach combining operational measurement data with a system FE model. These two approaches are investigated on a complex twistbeam rear suspension application. The potential of the two techniques for multiple input/state estimation is discussed together with implementation hurdles that need to be overcome for both approaches. A measurement campaign on the twistbeam was performed by acquiring strain responses together with force measurements for validation purposes.
Boek: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018)
Pagina's: 2181 - 2195
Aantal pagina's: 15
Jaar van publicatie:2018