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首页> 外文期刊>Journal of intelligent material systems and structures >State observation-based control algorithm for dynamic vibration absorbing systems featuring magnetorheological elastomers: Principle and analysis
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State observation-based control algorithm for dynamic vibration absorbing systems featuring magnetorheological elastomers: Principle and analysis

机译：基于状态观测的磁流变弹性体动态吸振系统控制算法：原理与分析

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摘要

Based on state observation, a rapid, stable, and effective control algorithm for magnetorheological elastomer (MRE)-based dynamic vibration absorbers (DVAs) applied to automobile powertrain mount systems is proposed and investigated in this article. The state-space model for powertrain mount systems with MRE-based DVAs is established using the rank criterion method for observable systems. According to the principle of system reconfiguration, a full state observation model using an adaptive Kalman filter with Sage-Husa noise estimator is developed. With the state vectors estimated by the Kalman filter, the phase difference between the displacement of the dynamic mass of the MRE-based DVA relative to the powertrain and the absolute displacement of the powertrain is updated continuously based on Simpson's rule. By adjusting the applied current to the MRE-based DVA with fuzzy logic control corresponding to the cosine value of the phase difference, the natural frequency of the MRE-based DVA could track the excitation frequency of the powertrain well, which results in vibration attenuation of the powertrain mount system. With consideration of excitation noise, time delays, and parametric uncertainties, the simulation experiments of vibration attenuation performance of the MRE-based DVA for the powertrain mount systems when under time-varying excitation are carried out to verify the effectiveness and the stability of the proposed algorithm with fuzzy steps. The simulation results show that when using the proposed algorithm with fuzzy steps, the MRE-based DVA could attenuate the powertrain vibration rapidly and effectively, and the vibration attenuation performance will not be influenced by noise, time delays, and parametric uncertainties.
机译：基于状态观察，提出并研究了基于磁流变弹性体（MRE）的动态减振器（DVA）在汽车动力总成悬置系统中的快速，稳定和有效的控制算法。使用基于可观察系统的秩标准方法，建立了基于MRE的DVA的动力总成安装系统的状态空间模型。根据系统重构的原理，建立了带有Sage-Husa噪声估计器的自适应卡尔曼滤波器的全状态观测模型。利用卡尔曼滤波器估计的状态向量，基于辛普森规则不断更新基于MRE的DVA相对于动力总成的动态质量位移与动力总成绝对位移之间的相位差。通过使用对应于相位差的余弦值的模糊逻辑控制，对基于MRE的DVA施加的电流进行调节，基于MRE的DVA的固有频率可以很好地跟踪动力总成的激励频率，从而导致振动衰减。动力总成安装系统。考虑到激励噪声，时滞和参数不确定性，进行了时变激励下动力总成悬置系统基于MRE的DVA振动衰减性能的仿真实验，验证了所提方法的有效性和稳定性。具有模糊步长的算法。仿真结果表明，该算法采用模糊步长法时，基于MRE的DVA可以快速有效地衰减动力总成的振动，并且其振动衰减性能不受噪声，时滞和参数不确定性的影响。

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