In this paper a novel approach for observer-based suspension control is presented. The control concept consists of two parts: An unknown-input state observer estimating both unknown forces acting upon the suspension system and a model-based control algorithm. The major advantage of the proposed concept is that it does not require the knowledge of uncertain wheel parameters. The observer relies on ideas of sliding mode control whereas the control algorithm pursues the goal of adjusting a desired suspension damping with the help of disturbance feedforward. The performance of the concept is demonstrated in numerical simulation and experiment.
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