Abstract
In this paper, a novel adaptive control system (NAC) is proposed for a restricted quarter-car electrohydraulic active suspension system. The main contribution of this NAC is its explicit tackling of the trade-off between passenger comfort/road holding and passenger comfort/suspension travel. Reducing suspension travel oscillations is another control target that was considered. Many researchers have developed control laws for constrained active suspension systems. However, most of the studies in the works of the latter have not directly examined the compromise between road holding, suspension travel, and passenger comfort. In this study, we proposed a novel adaptive control system to explicitly address the trade-off between passenger comfort and road holding, as well as the compromise between passenger comfort and suspension travel limits. The novelty of our control technique lies in its introduction of a modeling system for a dynamic landing tire system aimed at avoiding a dynamic tire liftoff. The proposed control consists of an adaptive neural networks’ backstepping control, coupled with a nonlinear control filter system aimed at tracking the output position of the nonlinear filter. The tracking control position is the difference between the sprung mass position and the output nonlinear filter signal. The results indicate that the novel adaptive control (NAC) can achieve the handling of car–road stability, ride comfort, and safe suspension travel compared to that of the other studies, demonstrating the controller’s effectiveness.
Highlights
A vehicle active suspension is a mechanical vibration system
In [11], a nonlinear control filter was developed to adjust the trade-off between passenger comfort and suspension travel for a quarter-car active suspension system
The the filtered active suspension was controlled by the novel adaptive control system (NAC), while for filtered active suspension was controlled by the novel adaptive control system (NAC), while for the the unfiltered active suspension, the active suspension was only controlled by the adaptive neural unfiltered active suspension, the active suspension was only controlled by the adaptive neural networks networks control system (ANNC) with no coupling with the nonlinear control filter
Summary
A vehicle active suspension is a mechanical vibration system. The active suspension aims primarily to minimize the transmission of vertical road forces to the sprung mass (passenger comfort) and to maximize tire–road contact (road holding) [1]. Even though previous studies were developed, improving in control performance, the researchers did not explicitly address both a trade-off between ride comfort and road holding, and a trade-off between ride comfort and suspension travel limits. A novel control system was developed to handle the inherent trade-off between passenger comfort/road holding, passenger comfort/suspension contraction limitation, and passenger comfort/suspension expansion limitation, as well as to overcome the dynamic nonlinearities and parametric uncertainties of quarter-car active suspension systems. The redesigned filter became three regions, which are a dead zone, a dynamic landing tire nonlinear function, and a suspension deflection nonlinear function This design of the nonlinear control filter can accommodate and improve the trade-off between passenger comfort, road holding, and suspension travel.
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