| 引用本文: | 国佳,文新宇,李生权,崔洋洋.多源不确定条件下智能薄板主动振动抑制[J].控制理论与应用,2026,43(3):643~651.[点击复制] |
| GUO Jia,WEN Xin-yu,LI Sheng-quan,CUI Yang-yang.Active vibration suppression for smart thin plates under multi-source uncertainties[J].Control Theory & Applications,2026,43(3):643~651.[点击复制] |
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| 多源不确定条件下智能薄板主动振动抑制 |
| Active vibration suppression for smart thin plates under multi-source uncertainties |
| 摘要点击 500 全文点击 66 投稿时间：2024-05-21 修订日期：2025-10-16 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.40287 |
| 2026,43(3):643-651 |
| 中文关键词 复合观测器 智能薄板结构 主动振动抑制 输出时滞 压电元件 |
| 英文关键词 composite observer smart thin plate structures active vibration suppression output time delay piezoelec tric element |
| 基金项目 国家自然科学基金项目(62303019),山西省重点研发计划项目(202102020101013),山西省应用基础研究面上项目(202103021224271)资助. |
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| 中文摘要 |
| 针对压电元件导致的输入不确定和加速度传感器滞后问题,提出一种复合观测器方法实现智能薄板结构
的主动振动抑制.首先,采用输出递推观测器估算出振动源延迟信号.然后,设计预估器补偿传感器造成的相位滞
后, 得到等效振动估计值.为避免估计值中的非规则信号产生较大的补偿输入不确定,对估计值进行整形,得到更光
滑的振动补偿信息.该方法充分利用平台的特性和规律,给出了系统化的振动补偿设计方案.利用李雅普诺夫方法,
证明了闭环系统一致最终有界.最后,通过仿真以及智能薄板结构振动平台实验,验证了复合观测器振动抑制方法
的有效性. |
| 英文摘要 |
| This paper addresses the issues of input uncertainty and acceleration sensor lag caused by piezoelectric ele
ments, a composite observer method is proposed for achieving active vibration suppression in smart thin plate structures.
Firstly, an output recursive observer is employed to estimate the delayed vibration source signal. Then, a predictor is de
signed to compensate for the phase lag introduced by the sensor, resulting in an equivalent vibration estimation. To mitigate
the significant compensation input uncertainty caused by irregular signals in the estimation, the estimated value is shaped to
produce smoother vibration compensation information. This method takes full consideration of the system characteristics
and laws of the platform, offering a systematic design scheme for vibration compensation. Using the Lyapunov method, it
is proven that the closed-loop system is uniformly ultimately bounded. Finally, the effectiveness of the composite observer
vibration suppression method is verified through simulations and experiments on a vibration platform with a smart thin
plate structure. |
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