智能减震器的半主动控制算法

D. Zhou, V. DeBrunner, L. DeBrunner, J. D. Baldwin, M. Ta, J. Fuller, Y. Wang, P. Wang, T. Hohenberger, S. Pelot, L. Zuniga
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引用次数: 2

摘要

在这项工作中,我们开发了适用于智能车辆和桥梁系统(IVBS)的智能减震器(SSA)组件的新型控制算法。SSA控制有两个IVBS目的:1)作为车辆的悬架,增加驾驶员在路面上行驶时的舒适性和可控性;2)减少公路桥梁的振动,从而延长桥梁的寿命。本文提出并讨论了针对第一个目的的算法。基于主动噪声控制技术在主动悬架系统中的应用,提出了一种裁剪型主动噪声控制算法(clipping ANC)。该算法的主要优点是由于自适应,可以有效地平衡舒适性和可控性。为了降低控制成本,本文还提出了一种基于截短ANC的简化控制算法。简化后的算法不需要系统建模,大大降低了实现成本。通过分析、仿真和实验验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semi-active control algorithms for a smart shock absorber
In this work, we develop novel control algorithms suitable for the smart shock absorber (SSA) component of the intelligent vehicle and bridge system (IVBS). The SSA control serves two IVBS purposes: 1) working as the vehicle suspension to increase driver comfort and controllability when the vehicle is on the pavement, and 2) reducing the vibration of highway bridges and thus prolonging bridge life. We propose and discuss in this paper algorithms targeted at the first purpose. Based on the application of active noise control techniques to an active suspension system, we introduce the clipped active noise control (clipped ANC) algorithm. The main advantage of this algorithm is that because it is adaptive, it can effectively balance the comfort and controllability. A simplified control algorithm based on the clipped ANC is also proposed to reduce the implementation cost. The simplified algorithm has no requirements for system modeling, so it substantially reduces the implementation cost. The effectiveness of our proposed algorithm is indicated by analyses, simulations and laboratory testing.
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