In this work, a novel distribution-based control strategy of semi-active vehicle suspensions is tested under different conditions. The novelty lies in the use of an appropriate threshold in the operational condition of the control algorithm, with which the operational conditions severity is quantified and the state of the damper is controlled according to the magnitude of the operational conditions and not their sign. The value of the threshold depends on the vibrations induced to the sprung mass by the road profile. In order to be evaluated, the operational conditions of the algorithm are fitted to a t-student distribution. The cumulative distribution function of this distribution is used in order to decrease the fraction of the sample operating with the damper’s stiff state. The strategy is applied to traditional SH control algorithms and is tested using a quarter car model excited by different road excitations. A sensitivity analysis for various threshold values is performed, investigating the impact of adopting the cumulative distribution functioned (CDF) controller to various performance metrics. The results illustrate an increase of up to 13% in the ride comfort of the passengers and increase of 6% in the road holding of the vehicle. Both are achieved by minimizing the switches of the damping ratio up to 80%.

在这项工作中，在不同条件下测试了一种基于分布的新型半主动车辆悬架控制策略。新颖之处在于在控制算法的操作条件中使用适当的阈值，通过该阈值可以量化操作条件的严重性，并且根据操作条件的大小而不是根据其符号来控制风门的状态。阈值取决于道路轮廓引起的簧载质量的振动。为了进行评估，将算法的操作条件拟合为t-学生分布。使用此分布的累积分布函数是为了减少在阻尼器的刚性状态下工作的样品的比例。将该策略应用于传统的SH控制算法，并使用由不同道路激励激励的四分之一汽车模型进行了测试。对各种阈值进行了敏感性分析，调查了采用累积分布函数（CDF）控制器对各种性能指标的影响。结果表明，乘客的乘坐舒适性增加了多达13％，车辆的持路性增加了6％。两者都是通过将阻尼比的开关最小化到80％来实现的。