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An optimal vibration control strategy for robust active suspension systems design with actuator delays and uncertainties

机译:具有致动器延迟和不确定性的鲁棒主动悬挂系统设计的最佳振动控制策略

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摘要

In this paper, an optimal vibration control strategy for solving the robust active suspension systems with actuator delays as well as uncertainties in a light rail vehicles (LRVs) is investigated. A 9-DOF multibody dynamic model of a three-car train set with the active suspension systems is presented; in addition, the external perturbation from track irregularity, vehicle body mass uncertainty, such as the number of passengers, and time-delayed actuator force are simultaneous considered to guarantee robust performance of the proposed systems. By using the Bellman's optimality principle for the zero-sum (ZS) game and Razumikhin theorem, the general robust control problem can be equivalently converted into an optimal control problem with the amount of matched uncertainties involved in the performance index. Moreover, sufficient conditions are derived under which not only the uncertain LRVs dynamical systems and time delays in the control input can achieve asymptotic stability, but also acquire the guaranteed level of performance for regulation. Extensive simulations show that the proposed active suspension systems can significantly suppress bodywork vertical acceleration, and ride comfort is improved when LRVs runs onto irregular tracks.
机译:在本文中,研究了一种用于解决具有致动器延迟以及轻轨车辆(LRV)的不确定性的鲁棒主动悬架系统的最优振动控制策略。提出了具有主动悬架系统的三厢火车组的9自由度多体动力学模型。此外,还同时考虑了因轨道不平顺引起的外部干扰,车身质量的不确定性(例如乘客人数)和延迟的执行力,以确保所提出系统的强大性能。通过使用零和(ZS)博弈的Bellman最优性原理和Razumikhin定理,可以将一般的鲁棒控制问题等效地转换为最优控制问题,而性能指标中包含匹配的不确定性。此外,得出了充分的条件,在这些条件下,不确定的LRV动态系统和控制输入中的时间延迟不仅可以实现渐近稳定性,而且还可以确保调节性能。大量的仿真表明,提出的主动悬架系统可以显着抑制车身的垂直加速度,并且当LRV在不规则的轨道上行驶时,乘坐舒适性得到改善。

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