改进型FULMS算法实现压电机敏框架结构振动抑制

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (11) : 23-28.

论文

黄全振1,2 朱晓锦1 高志远1 高守玮1

作者信息 +

Vibration Suppression of Piezoelectric Smart Framework Structure Based on Improved FULMS Algorithm

HUANG Quan-zhen1,2 ZHU Xiao-jin1 GAO Zhi-yuan1 GAO Shou-wei1

Author information +

文章历史 +

摘要

航空航天器结构振动主动控制研究一直非常活跃，其中自适应滤波FULMS算法构成主要控制方法之一，但该算法存在一个如何提取有效参考信号的问题。提出一种改进型FULMS振动控制算法，算法过程是通过从振动结构中直接提取振动响应残差信号，进而基于控制器结构和算法过程数据构造出参考信号，满足于激扰信号的相关性并进入算法控制过程；在此基础上，构建了一种压电机敏框架结构和实验平台进行实验验证，阐述了实验模型结构模态分析、分布式压电传感器和驱动器优化配置，以及实验平台构建和实验过程分析。研究结果表明，改进型FULMS算法较为有效地解决了参考信号实际获取问题，并具有良好的收敛性和结构振动抑制效果，对自适应滤波振动控制算法进一步实用化具有良好意义。

Abstract

Vibration suppression of aerospace vehicles is a hot spot, in which filter-u least mean square (FULMS) algorithm is a promising control algorithm. But vibration reference signal extraction is always a difficult problem for FULMS algorithm. By picking the vibration residual response signal, an improved FULMS algorithm is proposed to construct the reference signal that is related to external disturbance signal using the controller structure and the algorithm data. An experiment platform is constructed for testing the piezoelectric smart aircraft framework structure. Modal analsis for the experiment structure is done, as well as optimal configuration of the piezoelectric sensors and actuators. The simulation and experiment results show that the proposed algorithm solves the reference signal extraction problem with good convergence speed and good vibration suppression performance. The proposed algorithm is more practical with a good vibration suppression performance. It has positive significance for pushing adaptive filter vibration control closer to reality.

导出引用

黄全振1,2 朱晓锦1 高志远1 高守玮1. 改进型FULMS算法实现压电机敏框架结构振动抑制[J]. 振动与冲击, 2015, 34(11): 23-28

HUANG Quan-zhen1,2 ZHU Xiao-jin1 GAO Zhi-yuan1 GAO Shou-wei1. Vibration Suppression of Piezoelectric Smart Framework Structure Based on Improved FULMS Algorithm[J]. Journal of Vibration and Shock, 2015, 34(11): 23-28

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