Investigation of virtual sensing techniques on a rear twistbeam suspension by performing multiple-input/state estimation

摘要

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.