The paper is aimed at detailed discussion of the Identification-based Predictive Control (IPC) developed for semi-active fluid-based shock-absorbers which protect structures and machines against impact excitations. The problem addressed is the optimal impact absorption providing adaptive mitigation of dynamic response of the mechanical system. The goal of applied control is dissipation of the entire impact energy and minimization of the impacting object deceleration during the process. Three proposed implementations of the IPC are based on sequentially repeated procedures, which include identification of excitation parameters and calculation of the valve opening providing minimization of tracking error of the optimal path. The presented numerical examples concerning mitigation of the dynamic excitation acting on the double-chamber pneumatic shock-absorber reveal high efficiency and prove robustness of the proposed control methods. The developed algorithms are compared against each other in terms of path-tracking efficiency and character of required control actions. The most important challenges in practical implementation of the proposed methods are indicated.

中文翻译：

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基于识别的半主动减震器的自适应动态激励缓解预测控制

本文旨在详细讨论为半主动基于流体的减震器开发的基于识别的预测控制 (IPC)，该减震器可保护结构和机器免受冲击激励。解决的问题是提供机械系统动态响应的自适应缓解的最佳冲击吸收。应用控制的目标是消散整个冲击能量并在过程中最小化冲击物体的减速。提出的 IPC 的三个实施方案是基于顺序重复的程序，其中包括激励参数的识别和阀门开度的计算，从而使最佳路径的跟踪误差最小化。所提出的关于减轻作用在双室气动减震器上的动态激励的数值例子显示出高效率并证明了所提出的控制方法的鲁棒性。所开发的算法在路径跟踪效率和所需控制动作的特征方面相互比较。指出了所提出方法的实际实施中最重要的挑战。