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基于IUDE算法的主动悬架H2/H∞控制

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汽车高性能主动悬架对提升驾乘体验感具有显著优势,鲁棒性控制算法是发挥主动悬架性能的重要保障.针对典型鲁棒控制算法难以实现有效扰动估计和补偿的问题,本文提出了H2/H∞-H2-IUDE算法,采用IUDE算法估计并补偿扰动,并引入H2状态观测器,相比H2/H∞算法增强了鲁棒性.首先,建立了半车主动悬架控制系统模型,并定义了扰动形式.然后,提出能实现扰动估计和补偿解耦的IUDE算法,并提出一种H2状态观测器,进而实现了对H2/H∞算法的再设计.最后,针对随机路面和减速带路面等典型工况进行仿真分析.结果表明,所提出的算法相比H2/H∞算法,随机路面工况的车身质心垂向加速度和俯仰角均方根值分别下降了7.6%和5.9%,对汽车平顺性有明显改善.同时,所提出的H2观测器能有效估计系统状态,IUDE算法能准确估计扰动,并能够避免非解耦型UDE方法带来的悬架动挠度恶化问题,具有优异的扰动估计和灵活补偿的突出特点.
H2/H∞ Control of Active Suspension Based on IUDE Algorithm
High performance active suspension has significant advantages in improving driving experi-ence,and robust control algorithm is an important guarantee for active suspension performance.To solve the prob-lem that the typical robust control algorithms are difficult to achieve effective disturbance estimation and compensa-tion,in this paper,a H2/H∞-H2-IUDE algorithm is proposed to estimate and compensate the disturbance by using IUDE algorithm and introducing in H2 state observer,which improves the robustness compared with H2/H∞ algo-rithm.Firstly,the model of half vehicle active suspension control systems is established,and the disturbance form is defined.Then,an IUDE algorithm for disturbance estimation and compensation decoupling is proposed,and a H2 state observer is proposed to redesign H2/H∞ algorithm.Finally,simulation analysis is carried out for typical working conditions such as random road surface and speed bump road surface.The results show that,compared to the H2/H∞algorithm,the proposed algorithm reduces the root mean square values of the vehicle body center vertical accelera-tion and pitch angle by 7.6%and 5.9%,respectively,under random road conditions,demonstrating a significant improvement in vehicle ride comfort.Meanwhile,the proposed H2 observer can effectively estimate system states.The IUDE algorithm can accurately estimate disturbance,and can avoid the deterioration of suspension dynamic de-flection caused by the non-decouple UDE method,which has outstanding characteristics of excellent disturbance es-timation and flexible compensation.

active suspension systemsuncertainty and disturbance estimatorH2 observerH2/H∞controlIUDE algorithm

陈潇凯、刘宏宇、刘向

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北京理工大学机械与车辆学院,北京 100081

南阳淅减汽车减振器有限公司,南阳 473000

主动悬架 不确定性与扰动观测器 H2观测器 H2/H∞控制 改进的UDE算法

2025

汽车工程
中国汽车工程学会

汽车工程

北大核心
影响因子:0.751
ISSN:1000-680X
年,卷(期):2025.47(1)