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Active vibration control of a gear pair using a direct hybrid adaptive control method

机译:使用直接混合自适应控制方法的齿轮副的主动振动控制

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摘要

A direct hybrid adaptive control method based on the Lyapunov-like stability theorem is proposed for performing active vibration control of a gear pair system being subjected to multiple harmonic disturbances. The analysis uses a reduced single-degree-of-freedom definite gear pair representation of the elastic mesh mode, which includes the effect of time-varying tooth stiffness. It is assumed that the resultant actuation force can be directly applied to the gear body along the tooth contact line-of-action employing specially configured inertial actuators for suppressing rotational vibration. The proposed controller simultaneously adapts both the feed-back and feed-forward gains, and only requires knowledge of the instantaneous gear rotational speed and number of gear teeth or equivalently the fundamental gear mesh frequency. The numerical results of this study show that the proposed controller is somewhat insensitive to estimation error at the fundamental gear mesh frequency and the resulting vibration control is better than those provided by the well-known adaptive notch filter and Filtered-X LMS algorithms. Furthermore, the dynamic optimization normalization enhancement is incorporated into the basic controller to optimize performance and improve robustness.
机译:提出了一种基于类Lyapunov稳定性定理的直接混合自适应控制方法,用于对受到多重谐波干扰的齿轮副系统进行主动振动控制。该分析使用了弹性啮合模式的简化的单自由度确定齿轮对表示,其中包括随时间变化的牙齿刚度的影响。假设可以采用特殊构造的惯性致动器来抑制旋转振动,从而沿着齿接触作用线将合力直接施加到齿轮体上。所提出的控制器同时适应反馈和前馈增益,并且仅需要了解瞬时齿轮转速和齿轮齿数或等效的基本齿轮啮合频率。这项研究的数值结果表明,所提出的控制器在基本齿轮啮合频率下对估计误差不敏感,并且所产生的振动控制要比众所周知的自适应陷波滤波器和Filtered-X LMS算法所提供的更好。此外,动态优化归一化增强功能已合并到基本控制器中,以优化性能并提高鲁棒性。

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