| 黄全振,高守玮,高志远,邵勇,朱晓锦.结构振动的自适应滤波控制中的误差通道在线辨识与验证[J].高技术通讯(中文),2012,22(1):61~67 |
| 结构振动的自适应滤波控制中的误差通道在线辨识与验证 |
| Study and verification of an online secondary path identification algorithm for adaptive filtering based control of structural vibration |
| 修订日期：2010-08-10 |
| DOI： |
| 中文关键词: 振动主动控制， 误差通道， 实时在线辨识， 自适应滤波控制， 滤波 X算法 |
| 英文关键词: active vibration control, secondary path, real time online identification, adaptive filter control, filtered X algorithm |
| 基金项目:国家自然科学基金（90716027，51175319）和上海市人才发展基金（2009020）资助项目 |
| 作者 | 单位 | | 黄全振 | 上海大学机电工程与自动化学院上海 | | 高守玮 | 上海大学机电工程与自动化学院上海 | | 高志远 | 上海大学机电工程与自动化学院上海 | | 邵勇 | 上海大学机电工程与自动化学院上海 | | 朱晓锦 | 上海大学机电工程与自动化学院上海 |
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| 中文摘要: |
| 针对基于自适应滤波的振动控制算法的误差通道辨识问题，提出一种在实施该控制算法中进行误差通道模型实时在线辨识的方法。其基本思想是在振动主动控制器输出端引入一个白噪声信号，采用有限脉冲响应滤波器作为误差通道模型进行实时在线辨识，利用性能判别器实时控制辨识环节的停止与否，同时振动主动控制采用滤波 X算法。给出了具有在线辨识功能的控制器结构与算法过程，并结合实验模型结构和测控平台进行了实验分析与验证。基于MATLAB进行相关算法仿真，分析引入白噪声信号对辨识模型误差的影响，提出了一种辨识模型误差判定准则，并分析对 |
| 英文摘要: |
| This paper proposes a real time online secondary path identification algorithm for the adaptive filtering based vibration control. The basic thought of the proposed algorithm is to use a finite impulse response (FIR) filter with a random noise signal introduced at the control output to carry out the real time identification of the secondary path, and a performance monitor is employed to determine the on and off of the modeling process, and the filtered X algorithm is employed for the active vibration control. The detailed descriptions of the identifier, the controller architecture and the algorithm’s process are presented. The analysis of the affecting of the white noise to the identification model based on the simulation conducted using the MATLAB is given, and a judging criterion is proposed and its influence on the control performance is studied. The experiment on verification of the active vibration control of a flexible cantilever piezoelectric beam was performed on the constructed active vibration control platform. The experimental results showed that the proposed real time online secondary path identification strategy was successful, and the designed controller and control algorithm was feasible and effective. |
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