| 基于神经网络的弹性连杆机构振动主动控制 |
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| 引用本文： | 宋轶民,马文贵,张策.基于神经网络的弹性连杆机构振动主动控制[J].自动化学报,2000,26(5):660-665. |
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| 作者姓名： | 宋轶民 马文贵 张策 |
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| 作者单位： | 1.北京工业大学机械工程学院,北京; |
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| 基金项目： | 国家自然科学基金资助项目(59675004). |
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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.
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| 关 键 词： | 弹性连杆机构 振动主动控制 神经网络 自适应控制 |
| 收稿时间： | 1998-9-11 |
| 修稿时间： | 1998年9月11日 |
ACTIVE VIBRATION CONTROL OF FLEXIBLE LINKAGE MECHANISMS USING NEURAL NETWORKS |
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| Song Yimin,Ma Wengui,Zhang Ce.ACTIVE VIBRATION CONTROL OF FLEXIBLE LINKAGE MECHANISMS USING NEURAL NETWORKS[J].Acta Automatica Sinica,2000,26(5):660-665. |
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| Authors: | Song Yimin Ma Wengui Zhang Ce |
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| Affiliation: | 1.School of Mechanical Engineering,Beijing Polytechnic University,Beijing;Department of Automation,Tianjin Institute of Textile Engineering,Tianjin;School of Mechanical Engineering,Tianjin University,Tianjin |
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| 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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| Keywords: | Flexible linkage mechanisms active vibration control neural networks adaptive control |
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