Simultaneous Suspension Control and Energy Harvesting Through Novel Design and Control of a New Nonlinear Energy Harvesting Shock Absorber

Simultaneous Suspension Control and Energy Harvesting Through Novel Design and Control of a New Nonlinear Energy Harvesting Shock Absorber
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DOI:
10.1109/tvt.2022.3159734
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发表时间:
2021-06
影响因子:
6.8
通讯作者:
Mohammad R. Hajidavalloo;Joel A. Cosner;Zhaojian Li;Wei-Che Tai;Ziyou Song
Mohammad R. Hajidavalloo;Joel A. Cosner;Zhaojian Li;Wei-Che Tai;Ziyou Song
中科院分区:
计算机科学2区
文献类型:
--
作者:
Mohammad R. Hajidavalloo;Joel A. Cosner;Zhaojian Li;Wei-Che Tai;Ziyou Song

文献摘要

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在过去的几十年里,车辆悬架的同步振动控制和能量收集引起了广泛的研究关注。然而,现有的能量收集减震器 (EHSA) 损害了高效能量收集的悬架性能,并且仅响应窄带振动。在本文中,我们提出了一种基于滚珠丝杠的新型 EHSA 设计——惯性摆式减振器 (IPVA),它将电磁旋转 EHSA 与非线性摆式减振器集成在一起。我们表明,该设计通过利用摆锤惯性的非线性效应,同时提高了乘坐舒适性和能量收集效率。为了进一步提高性能,我们开发了一种新颖的随机线性化模型预测控制(SL-MPC)方法,其中我们采用随机线性化来近似 EHSA 的非线性动力学,与标准线性化相比,该方法具有更高的精度。特别是,我们开发了一种新的随机线性化方法,具有保证的稳定性,这是控制设计的先决条件。这导致 MPC 问题的计算效率比对应的非线性 MPC 问题高得多,而且性能没有大幅下降。此外,还研究了不同道路预览配置对控制性能的影响,结果表明这对控制性能有显着影响。进行了大量的仿真,以显示所提出的新型非线性 EHSA 的优越性,并证明所提出的 SL-MPC 的功效。
Simultaneous vibration control and energy harvesting of vehicle suspensions have attracted significant research attention over the past decades. However, existing energy harvesting shock absorbers (EHSAs) compromise suspension performance for high-efficiency energy harvesting and being only responsive to narrow-bandwidth vibrations. In this paper, we propose a new ball-screw-based EHSA design – inerter pendulum vibration absorber (IPVA) – that integrates an electromagnetic rotary EHSA with a nonlinear pendulum vibration absorber.We show that this design simultaneously improves ride comfort and energy harvesting efficiency by exploiting the nonlinear effects of pendulum inertia. To further improve the performance, we develop a novel stochastic linearization model predictive control (SL-MPC) approach in which we employ stochastic linearization to approximate the nonlinear dynamics of EHSA that has superior accuracy compared to standard linearization. In particular, we develop a new stochastic linearization method with guaranteed stabilizability, which is a prerequisite for control designs. This leads to an MPC problem that is much more computationally efficient than the nonlinear MPC counterpart with no major performance degradation. Also, the effect of different road preview configurations on control performance is investigated, which is shown to have a significant impact on the control performance. Extensive simulations are performed to show the superiority of the proposed new nonlinear EHSA and to demonstrate the efficacy of the proposed SL-MPC.