This dissertation presents two new adaptive control concepts for mechatronic vehicle suspension systems, which ease the conflict between the objectives ride comfort, ride safety and limited suspension deflection by dynamically adjusting the tuning to the current driving state. The first approach is a switching controller for a fully active suspension. The stability of the switched system is proven, taking into account the nonlinear damper characteristic. The second approach is an adaptive reference model based controller structure, which emulates the dynamic behavior of a passive suspension system that is optimally tuned for the current driving state. This concept is applied for a new hybrid suspension configuration involving semi-active and active elements. It is shown in simulations and experiments at quarter-vehicle test rigs, that the second concept leads to a similar performance compared to the fully active system, however, with a lower power demand.
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This dissertation presents two new adaptive control concepts for mechatronic vehicle suspension systems, which ease the conflict between the objectives ride comfort, ride safety and limited suspension deflection by dynamically adjusting the tuning to the current driving state. The first approach is a switching controller for a fully active suspension. The stability of the switched system is proven, taking into account the nonlinear damper characteristic. The second approach is an adaptive refere...
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