At present,the active control of gear vibration mostly relies on existing algorithms.In order to achieve effective vibration reduction of the gear system,particularly during the vibration process,this paper proposes a...At present,the active control of gear vibration mostly relies on existing algorithms.In order to achieve effective vibration reduction of the gear system,particularly during the vibration process,this paper proposes a multi-channel VSMFxLMS algorithm based on the FxLMS algorithm.This novel approach takes into account the time-varying nature of the vibration signal during gear vibration.Adaptive filter power coefficients are updated in a skip-tongue variable-step manner using momentum factors.Firstly,the paper establishes the dynamics model of the gear system and analyzes the nonlinear dynamic characteristics of the system.It then examines the vibration damping effect of the FxLMS algorithm and analyzes its performance under different gear system motion states,considering different step lengths and momentum factors.Lastly,the proposed VSMFxLMS algorithm is compared with the FxLMS algorithm,highlighting the superiority of the former.Overall,this research highlights the potential of a multi-channel VSMFxLMS algorithm in reducing vibrations in gear systems.The study optimizes the performance of gear systems while using advanced control strategies.展开更多
为解决传统滤波最小均方差(filtered-x least mean square,FxLMS)算法在收敛速度和稳定性之间存在的矛盾,以及次级通道模型不确定性对控制收敛性能的影响,将反馈FxLMS算法和混合灵敏度鲁棒控制器相结合,提出了一种反馈FxLMS-鲁棒混合控...为解决传统滤波最小均方差(filtered-x least mean square,FxLMS)算法在收敛速度和稳定性之间存在的矛盾,以及次级通道模型不确定性对控制收敛性能的影响,将反馈FxLMS算法和混合灵敏度鲁棒控制器相结合,提出了一种反馈FxLMS-鲁棒混合控制算法,并在工程应用中常见的主动撑杆隔振平台上对该混合算法的振动控制性能进行仿真分析和试验验证。变载荷激励及控制通道变化仿真和试验结果均表明,不同激励下各个阶段的加速度响应衰减均超过80%,且与传统的FxLMS算法相比,所提出的混合控制算法具有更快的收敛速度和更强的鲁棒性。展开更多
在磁悬浮控制力矩陀螺(CMG)中,框架运动对磁悬浮转子支承系统的扰动可以采用角速率前馈加以补偿,但前馈系数固定时的补偿精度受磁轴承系统模型误差影响而显著下降。为了提高补偿精度,本文针对MIMO磁悬浮转子系统,提出一种基于FXLMS(filt...在磁悬浮控制力矩陀螺(CMG)中,框架运动对磁悬浮转子支承系统的扰动可以采用角速率前馈加以补偿,但前馈系数固定时的补偿精度受磁轴承系统模型误差影响而显著下降。为了提高补偿精度,本文针对MIMO磁悬浮转子系统,提出一种基于FXLMS(filtered-X least mean square)算法的自适应前馈方法,采用梯度估计和最速下降策略推导前馈权值更新算法,并根据算法收敛性和收敛速度设计收敛因子和权初值。仿真结果表明,该方法收敛速度快,抗噪声能力强,相同模型误差情况下使转子的动框架位移降低到固定特性前馈时的20%,大幅度提高了动框架前馈补偿精度,有利于进一步提高磁悬浮CMG的力矩输出精度。展开更多
FxLMS(Filtered-x Least Mean Square)算法在主动振动控制系统中有着广泛的应用,在实际系统中由于参考输入信号会混入诸如测量噪声、冲击噪声、野值等与参考信号不相关的干扰信号,这会导致系统更新稳定性性能变坏,甚至发散。针对这个问...FxLMS(Filtered-x Least Mean Square)算法在主动振动控制系统中有着广泛的应用,在实际系统中由于参考输入信号会混入诸如测量噪声、冲击噪声、野值等与参考信号不相关的干扰信号,这会导致系统更新稳定性性能变坏,甚至发散。针对这个问题,提出一种改进的FxLMS算法。新的算法利用跟踪微分滤波器和非线性变换函数分别对参考输入信号和反馈误差信号进行处理。同时,以滤波器更新向量的差值最小为优化条件推导出新的更新公式。通过在主动振动控制系统中与已有算法进行仿真比较,仿真结果证明在处于噪声干扰的情况下新的算法体现出更好的更新稳定性。展开更多
将加速度负反馈(negative acceleration feedback,NAF)控制器与最小均方自适应滤波(filtered-x least mean square,FxLMS)算法相结合,提出了一种改进的反馈式次级通道阻尼补偿方法,来提高FxLMS控制器的性能。针对垂尾模型低阶模态抖振...将加速度负反馈(negative acceleration feedback,NAF)控制器与最小均方自适应滤波(filtered-x least mean square,FxLMS)算法相结合,提出了一种改进的反馈式次级通道阻尼补偿方法,来提高FxLMS控制器的性能。针对垂尾模型低阶模态抖振响应的控制问题,设计NAF控制器对次级通道进行反馈式阻尼补偿,建立了多模态的NAF-FxLMS控制器,随后开展垂尾抖振响应主动控制的地面模拟实验。实验结果表明,相比于单独的FxLMS控制器或NAF控制器,NAF-FxLMS控制器对垂尾抖振响应具有更好的控制效果。展开更多
基金Supported by Sichuan Provincial Science and Technology Program(Grant No.2024NSFSC0902)National Natural Science Foundation of China(Grant Nos.52405254,52105108,52375039)+1 种基金the Young Elite Scientists Sponsorship Program by CAST(Grant No.2023QNRC001)Hebei Provincial Natural Science Foundation(Grant No.E2023105039).
文摘At present,the active control of gear vibration mostly relies on existing algorithms.In order to achieve effective vibration reduction of the gear system,particularly during the vibration process,this paper proposes a multi-channel VSMFxLMS algorithm based on the FxLMS algorithm.This novel approach takes into account the time-varying nature of the vibration signal during gear vibration.Adaptive filter power coefficients are updated in a skip-tongue variable-step manner using momentum factors.Firstly,the paper establishes the dynamics model of the gear system and analyzes the nonlinear dynamic characteristics of the system.It then examines the vibration damping effect of the FxLMS algorithm and analyzes its performance under different gear system motion states,considering different step lengths and momentum factors.Lastly,the proposed VSMFxLMS algorithm is compared with the FxLMS algorithm,highlighting the superiority of the former.Overall,this research highlights the potential of a multi-channel VSMFxLMS algorithm in reducing vibrations in gear systems.The study optimizes the performance of gear systems while using advanced control strategies.
文摘为解决传统滤波最小均方差(filtered-x least mean square,FxLMS)算法在收敛速度和稳定性之间存在的矛盾,以及次级通道模型不确定性对控制收敛性能的影响,将反馈FxLMS算法和混合灵敏度鲁棒控制器相结合,提出了一种反馈FxLMS-鲁棒混合控制算法,并在工程应用中常见的主动撑杆隔振平台上对该混合算法的振动控制性能进行仿真分析和试验验证。变载荷激励及控制通道变化仿真和试验结果均表明,不同激励下各个阶段的加速度响应衰减均超过80%,且与传统的FxLMS算法相比,所提出的混合控制算法具有更快的收敛速度和更强的鲁棒性。
文摘在磁悬浮控制力矩陀螺(CMG)中,框架运动对磁悬浮转子支承系统的扰动可以采用角速率前馈加以补偿,但前馈系数固定时的补偿精度受磁轴承系统模型误差影响而显著下降。为了提高补偿精度,本文针对MIMO磁悬浮转子系统,提出一种基于FXLMS(filtered-X least mean square)算法的自适应前馈方法,采用梯度估计和最速下降策略推导前馈权值更新算法,并根据算法收敛性和收敛速度设计收敛因子和权初值。仿真结果表明,该方法收敛速度快,抗噪声能力强,相同模型误差情况下使转子的动框架位移降低到固定特性前馈时的20%,大幅度提高了动框架前馈补偿精度,有利于进一步提高磁悬浮CMG的力矩输出精度。
文摘FxLMS(Filtered-x Least Mean Square)算法在主动振动控制系统中有着广泛的应用,在实际系统中由于参考输入信号会混入诸如测量噪声、冲击噪声、野值等与参考信号不相关的干扰信号,这会导致系统更新稳定性性能变坏,甚至发散。针对这个问题,提出一种改进的FxLMS算法。新的算法利用跟踪微分滤波器和非线性变换函数分别对参考输入信号和反馈误差信号进行处理。同时,以滤波器更新向量的差值最小为优化条件推导出新的更新公式。通过在主动振动控制系统中与已有算法进行仿真比较,仿真结果证明在处于噪声干扰的情况下新的算法体现出更好的更新稳定性。
文摘将加速度负反馈(negative acceleration feedback,NAF)控制器与最小均方自适应滤波(filtered-x least mean square,FxLMS)算法相结合,提出了一种改进的反馈式次级通道阻尼补偿方法,来提高FxLMS控制器的性能。针对垂尾模型低阶模态抖振响应的控制问题,设计NAF控制器对次级通道进行反馈式阻尼补偿,建立了多模态的NAF-FxLMS控制器,随后开展垂尾抖振响应主动控制的地面模拟实验。实验结果表明,相比于单独的FxLMS控制器或NAF控制器,NAF-FxLMS控制器对垂尾抖振响应具有更好的控制效果。
