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一种混合结构自适应振动有源控制策略

A hybrid structure adaptive vibration active control strategy
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摘要 针对电机驱动海水泵振动有源控制的鲁棒性和稳定性问题,基于卡尔曼滤波(Kalman filter,KF)算法,提出一种混合结构自适应振动有源控制策略。建立了系统状态预测方程、状态转移矩阵及测量矩阵等,搭建了混合结构自适应振动有源控制系统模型。为提高算法的收敛性能,提出一种测量噪声协方差矩阵的在线更新策略。对多频激励下的频率突变、幅值突变进行仿真,仿真结果表明,所提控制策略可有效减弱参考信号与振动源信号的强相关性;实现了在高斯白噪声作为参考信号的前提下,振动有源控制仍然有效;鲁棒性、稳定性和控制效果均优于变步长FxLMS算法。 Aiming at the robustness and stability of the vibration active control of motor-driven seawater pumps,a hybrid structure adaptive vibration active control strategy is proposed based on the Kalman filter(KF)algorithm,which establishes the system state prediction equations,state transfer matrix and measurement matrix,and builds a hybrid structure adaptive vibration active control system model.In order to improve the convergence performance of the algorithm,an online update strategy for the measurement noise covariance matrix is proposed.Simulation results show that the new control strategy effectively overcomes the strong correlation between the reference signal and the vibration source based on the classical Filtered x Least Mean Square algorithm(“FxLMS”),and realizes effective vibration active control under the premise that Gaussian white noise is used as the reference signal.The robustness,stability,and control effect of the proposed strategy are all superior to that of the FxLMS algorithm with a variable step size.The results provide theoretical support for engineering practice and have certain potential application value.
作者 杨玉良 周俊成 刘学广 王岩岩 冯峰 YANG Yu-liang;ZHOU Jun-cheng;LIU Xue-guang;WANG Yan-yan;FENG feng(College of Power and Energy Engineering,Harbin Engineering University,Harbin 150001,China;Yantai Research Institute,Harbin Engineering University,Yantai 264000,China)
出处 《振动工程学报》 EI CSCD 北大核心 2024年第12期2086-2092,共7页 Journal of Vibration Engineering
基金 国家自然科学基金资助项目(51775124)。
关键词 振动有源控制 多频激励 卡尔曼滤波 active vibration control multi-frequency excitation Kalman filter
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