基于粒子群算法的双时滞半主动悬架控制研究

发布时间：2018-02-09 18:22

本文关键词： 车辆半主动悬架时滞反馈控制统一目标函数法粒子群优化算法(PSO)　出处：《广西大学学报(自然科学版)》2016年05期 　论文类型：期刊论文

【摘要】：针对四自由度半车悬架控制模型,提出一种基于双时滞反馈优化控制的车辆半主动悬架控制方法。引入时滞减振控制技术,应用时滞动力吸振器的减振机理和振动系统的幅频特性,建立基于车身加速度和俯仰加速度的统一目标函数,利用粒子群优化算法快速寻优特点获取最优时滞反馈控制参数,并在Matlab/Simulink环境下对悬架系统仿真。仿真结果显示:在随机激励下,双时滞反馈控制通过优化调节双时滞控制参数可以减小车身垂直加速度和俯仰加速度,相应的均方根值比被动悬架分别降低15.10%和22.48%,车身振动得到有效衰减。研究结果表明考虑时滞的车辆悬架模型不仅提高了模型建模精度,双时滞反馈控制更有效提高悬架的减振效果,改善车辆行驶平顺性,为半主动悬架控制系统设计提供了理论依据,具有一定的应用价值。
[Abstract]:Aiming at the control model of four-degree-of-freedom semi-vehicle suspension, a control method of semi-active suspension based on two-time-delay feedback optimization control is proposed. The time-delay damping control technique is introduced. Applying the damping mechanism of dynamic vibration absorber with time delay and the amplitude and frequency characteristic of vibration system, the unified objective function based on acceleration and pitch acceleration of vehicle body is established, and the optimal parameters of time-delay feedback control are obtained by using particle swarm optimization (PSO) algorithm. The simulation results of suspension system under Matlab/Simulink environment show that, under random excitation, double time-delay feedback control can reduce the vertical acceleration and pitch acceleration of vehicle body by optimizing the control parameters with two delays. The results show that the vehicle suspension model with time delay can not only improve the modeling accuracy, but also reduce the RMS value by 15.10% and 22.48, respectively. Double time-delay feedback control can effectively improve the damping effect of suspension and improve the ride comfort of vehicle. It provides a theoretical basis for the design of semi-active suspension control system and has certain application value.
【作者单位】：山东理工大学交通与车辆工程学院;
【基金】：国家自然科学基金资助项目(51275280)
【分类号】：U463.33

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