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Active suspension controller using MPC based on a full-car model with preview information

机译:基于MPC的主动悬架控制器,基于带有预览信息的全车模型

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Active suspension systems in vehicles provide the possibility to overcome the trade-off between ride comfort and handling characteristics of passive systems. Active suspensions have even greater potential if preview information of the oncoming road height profile is available. This paper presents a control strategy for vehicles with active suspensions and available preview information, which has to be obtained by a sensor mounted in front of the car. The controller is based on a full-car model. To incorporate all hard constraints on control variables, a Model Predictive Control (MPC) design scheme is applied. Since wheel dynamics are not within the bandwidth of energy-saving, low bandwidth active suspension systems, the controller is based on the idea, that only vehicle body dynamics and not wheel dynamics should explicitly considered in controller design. Accordingly the cost function of the controller considers only the minimization of vehicle body accelerations and hence the improvement of ride comfort. It is shown, that all the same, handling characteristics are also improved.
机译:车辆中的主动悬架系统提供了克服乘坐舒适性与被动系统操纵特性之间折衷的可能性。如果可获得即将到来的道路高度剖面的预览信息,则主动悬架的潜力更大。本文提出了具有主动悬架和可用预览信息的车辆的控制策略,必须通过安装在汽车前部的传感器来获得该信息。该控制器基于全车模型。为了将所有硬约束纳入控制变量中,应用了模型预测控制(MPC)设计方案。由于车轮动力学不在节能,低带宽主动悬架系统的带宽之内,因此控制器基于这样的思想,即在控制器设计中应明确考虑仅车身动力学而不是车轮动力学。因此,控制器的成本函数仅考虑车身加速度的最小化,并因此考虑乘坐舒适性的提高。结果表明,所有相同的操纵特性也得到了改善。

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