Active Vibration Control of Flexible Linkage Mechanisms Using Neural Networks
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摘要: 研究基于神经网络的弹性连杆机构振动主动控制方法.介绍了双隐层动态递归神经 网络的数学模型,利用实验数据离线设计了神经网络辨识器与神经网络控制器.采用基于神 经网络的间接自适应控制策略对弹性连杆机构实施了振动主动控制,机构的动力学品质得到 显著改善.实验结果证明了该方法的有效性.Abstract: This paper presents an approach to active vibration control of flexible linkage mechanisms based on neural networks. The mathematical model of the dynamic recurrent neural networks (DRNN) with two hidden layers is introduced. Using the experimental data, the neural identifier and the neural controller are designed off-line. The neural networks based indirect adaptive control strategy is realized to control the elastodynamic response of flexible linkage mechanisms actively. The dynamic characteristics of the experimental mechanism are improved significantly. Results of on-line control prove the validity of this method.
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