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首页> 外文期刊>Shock and vibration >Optimal Disturbance Rejection with Zero Steady-State Error for Nonlinear Vehicle Suspension Systems under Persistent Road Disturbances
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Optimal Disturbance Rejection with Zero Steady-State Error for Nonlinear Vehicle Suspension Systems under Persistent Road Disturbances

机译:持续道路扰动下非线性车辆悬架系统的稳态误差为零的最优扰动抑制

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摘要

The road disturbance rejection problem for vehicle active suspension involving the nonlinear characteristics is researched in this paper. A continuous-time state space of nonlinear vehicle active suspension is established first, in which the road disturbance is generated from the output of an introduced exosystem based on the ground displacement power spectral density. After that, based on the dynamics of road roughness and the internal model principle, a disturbance compensator with zero steady-state error is designed, which is related to the dynamic characteristics of road disturbance and independent of the control system model. By combining the vehicle active suspension system and the designed road disturbance compensator, an augmented system is obtained without explicit indication of road disturbance. 'then by solving a series of decoupled nonlinear two-point-boundaryvalue problem and employing an iterative computing algorithm, an approximation optimal road disturbance rejection controller is obtained. Finally, the simulation results illustrate that the proposed approximation optimal road disturbance rejection controller can reduce the values of sprung mass acceleration, tire deflection, suspension deflection, and energy consumption and compensate the nonlinear behaviors of vehicle active suspension effectively.
机译:研究了具有非线性特性的车辆主动悬架的道路扰动抑制问题。首先建立非线性车辆主动悬架的连续时间状态空间,其中基于地面位移功率谱密度从引入的外部系统的输出中产生道路干扰。然后,根据路面不平度的动力学特性和内模原理,设计了稳态误差为零的扰动补偿器,该补偿器与道路扰动的动态特性有关,独立于控制系统模型。通过将车辆主动悬架系统和设计的道路干扰补偿器组合在一起,可以获得无需明确指示道路干扰的增强系统。然后,通过解决一系列解耦的非线性两点边界值问题并采用迭代计算算法,获得了近似的最佳道路干扰抑制控制器。最后,仿真结果表明,所提出的近似最优道路扰动抑制控制器可以减小簧载质量加速度,轮胎挠度,悬架挠度和能耗值,并有效补偿车辆主动悬架的非线性行为。

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  • 来源
    《Shock and vibration》 |2018年第5期|3605290.1-3605290.10|共10页
  • 作者单位

    Qingdao Univ Technol, Sch Mech Engn, Qingdao, Peoples R China;

    Shandong Womens Univ, Sch Informat Technol, Jinan 250300, Shandong, Peoples R China;

    Univ Jinan, Shandong Prov Key Lab Networked Based Intelligent, Jinan 250022, Shandong, Peoples R China;

    Qingdao Univ, Coll Data Sci & Software Technol, Qingdao 266100, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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