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基于多频线谱陷波的动力总成振动主动控制研究
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Study on Active Control for Powertrain Vibration Based on Multi-frequency Line Spectrum Notch Algorithm
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    摘要:

    针对汽车动力总成系统振动频率存在阶次多、单个阶次振动频带窄等问题,提出了一种基于滤波-x 最小均方算法改进的多频线谱陷波振动主动控制方法.首先,该方法基于转速信号来获取多个阶次振动频率的参考信号,再通过最小均方滤波器来计算获取这些阶次振动频率的抵消信号.其次,该方法根据不同频率阶次振动信号的正交性,进一步以线性叠加计算来获得主动悬置的控制信号,最终实现对多频线谱振动的主动控制.和传统滤波-x 最小均方算法相比,本算法改进了参考信号和控制信号的获取方式,因此有着更少的计算量、更快的收敛速度等优势.仿真和试验结果显示,所提方法比传统滤波-x 最小均方算法,在收敛次数方面减少了81.25% ,稳态误差下降了15%.其中,在怠速工况下,和传统滤波-x 最小均方算法比,最高降低了34.01 dB,在定置上升全油门工况下,总振级最高下降了17.5 dB.

    Abstract:

    Aiming at the vibration frequency of automotive powertrain systems with problems such as multiple orders and narrow vibration bands of a single order, this paper proposes a multi-frequency line spectrum notch-filter vibration active control method based on the filtered-x least mean square algorithm. First, the method is based on the rotational speed signal to obtain the reference signals of multiple order vibration frequencies, and then the minimum mean square filter is used to calculate the offset signals of these order vibration frequencies. Secondly, based on the orthogonality of the vibration signals at different frequencies, the method further calculates the control signals with linear superposition to obtain the control signals of active suspension and eventually realizes the active control of multi-frequency line spectral vibration. Compared with the traditional filtered-x least-mean-square algorithm, this algorithm improves the acquisition of reference and control signals and thus has the advantages of less computation and faster convergence speed. Simulation and experimental results show that the proposed method reduces both the number of convergence by 81.25% and the steady-state error by 15%, respectively, compared with the traditional filtered-x least-mean-square algorithm. The maximum reduction is 34.01 dB under idling condition and 17.5 dB under WOT condition, respectively, compared with the traditional filtered-x least mean square algorithm.

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王里达 ,丁荣军 ?,刘侃 ,杨军 ,雷羿含 ,张旗 .基于多频线谱陷波的动力总成振动主动控制研究[J].湖南大学学报:自然科学版,2024,51(12):1~9

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  • 在线发布日期: 2024-12-31
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