馈能式半主动悬架非概率可靠性分析及优化

doi:10.3901/JME.260027

摘要/Abstract

摘要： 为探究馈能式磁流变半主动悬架关键参数摄动时的隔振能力和馈能特性，建立参数摄动半主动悬架动力学模型，采用区间变量分析法研究悬架时域和频域隔振能力。基于最短距离法建立悬架非概率可靠度计算模型，研究关键参数摄动对悬架非概率可靠度的影响规律；通过灰色关联分析法确定关键参数摄动对悬架非概率可靠度的影响程度。基于动态规划理论构造兼顾隔振能力和馈能特性的平衡性能指标，研究关键参数摄动对平衡性能指标的影响；求解平衡性能指标的Nash平衡点，得到综合性能最优的悬架关键参数，与通过多目标优化获得的关键参数进行对比验证。研究表明：流道间隙h对系统非概率可靠度影响最显著；调节阻尼器结构参数可有效改善悬架的综合性能。

关键词: 半主动悬架, 馈能式磁流变阻尼器, 非概率可靠性, 多目标优化, 动态规划

Abstract: For demonstrating the vibration isolation capability and energy harvesting characteristic of semi-active suspension based on magneto-rheological (MR) damper with key parameters perturbation, the dynamical model of semi-active suspension with key parameters perturbation is established. The vibration performance is investigated in time and frequency domain respectively by interval analysis approach. The non-probabilistic reliability calculating model is formulated via shortest distance method, the non-probabilistic reliability is evaluated with key parameters perturbation. The grey relation analysis approach is employed to determine the influential degree of key parameters on non-probabilistic reliability. The balance index is proposed based on dynamical programming theory including vibration isolation performance and energy harvesting simultaneously, and the influence of key parameters on balance index is conducted. The optimal key parameters are obtained by solving Nash equilibrium of the balance index. The results indicate that the clearance of flow channel h affects the non-probabilistic reliability most obviously. The comprehensive performance of suspension is enhanced by adjusting the structural parameters of MR damper most significantly.

Key words: semi-active suspension, energy harvesting magneto-rheological (MR) damper, non-probabilistic reliability, multi-objective optimization, dynamical programming

中图分类号:

TB53

高翔, 张祥, 牛军川, 贺磊, 王忠龙, 吴虎. 馈能式半主动悬架非概率可靠性分析及优化[J]. 机械工程学报, 2026, 62(1): 374-383.

GAO Xiang, ZHANG Xiang, NIU Junchuan, HE Lei, WANG Zhonglong, WU Hu. Non-probabilistic Reliability Analysis and Optimization of Semi-active Suspension with Energy Harvesting Characteristic[J]. Journal of Mechanical Engineering, 2026, 62(1): 374-383.

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