Adaptive Control for Vibration Suppression by Using Self-organization Map
Adaptive Control for Vibration Suppression by Using Self-organization Map
复制标题
利用自组织映射进行振动抑制的自适应控制
DOI：
10.1109/ascc.2015.7244696
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
and Y. Narita
中科院分区：
文献类型：
--
作者：
S. Honda;N. Kida;and Y. Narita
提出了一种基于神经网络自组织映射（SOM）的智能结构振动自适应控制方法。SOM学习给定数据的特征而无需监督，并将高维数据分类为低维映射，保持数据之间的复杂关系。该方法利用自组织神经网络对被控对象的状态进行估计，并建立控制输入的查找表。状态估计SOM的每个节点由包括受控响应和控制输入的向量组成。SOM和查找表学习和更新只有当有效的控制输入被施加到控制对象，其中控制系统的评价函数定义的期望状态和当前状态之间的差异。该方法只需要控制响应和输入信息，不需要被控对象的数学模型即可实现振动控制。给出了由铝板和压电作动器构成的智能结构的数值计算和实验结果。数值计算和实验结果均表明了该方法的有效性。
An adaptive control method using a self-organizing map (SOM) which is a kind of neural networks is proposed to suppress vibration of smart structures. The SOM learns characteristics of given data without supervising and categorizes high dimensional data into low dimensional maps with keeping complex relationships among data. The present method employs the SOM to estimate states of the controlled object and makes a lookup table of control input. Each node of the state estimation SOM consists of vectors including controlled responses and control input. The SOM and lookup table learn and are updated only when the effective control input is applied to the controlled object where the evaluation function of control system is defined by differences between the desired state and current state. The present method just requires information about the control response and input, resulting in implementation of the vibration control without numerical models for controlled object. Numerical and experimental results are given for the smart structure fabricated by an aluminum plate and piezoelectric actuators, assuming as an unknown object. Both numerical and experimental results successfully demonstrate effectiveness of the present method.