湖南大学学报（自然科学版）2024，Vol.51Issue(12)：1-9,9.DOI:10.16339/j.cnki.hdxbzkb.2024245
基于多频线谱陷波的动力总成振动主动控制研究
Study on Active Control for Powertrain Vibration Based on Multi-frequency Line Spectrum Notch Algorithm
摘要
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.关键词
多频线谱/陷波/滤波-x最小均方算法/动力总成/振动主动控制Key words
multi-frequency line spectrum/notch-filter/filtered-x least mean square(Fx LMS)algorithm/powertrain/active vibration control分类
通用工业技术引用本文复制引用
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):1-9,9.基金项目
湖南省科技创新计划项目(2023RC1047),The Science and Technology Innovation Program of Hunan Province(2023RC1047) （2023RC1047）
