| 利用神经网络控制技术消除车削过程自激振荡的仿真研究 |
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| 引用本文： | 王新晴,王耀华,严骏. 利用神经网络控制技术消除车削过程自激振荡的仿真研究[J]. 机械工程学报, 2001, 37(6): 102-105 |
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| 作者姓名： | 王新晴 王耀华 严骏 |
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| 作者单位： | 解放军理工大学工程兵工程学院 |
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| 摘 要： | 车削过程自激振荡是一种以残留振痕作为机械延时反馈造成的动态失稳现象,消除这一现象是机械加工过程中的技术关键之一。将人工神经网络理论引入非线性或不稳定系统行为的控制,即可形成一种基于神经网络控制技术的消除车削过程自激振荡的新方法。仿真结果表明,该方法在消除残留振痕引起的车削再生颤振,提高车削稳定性方面具有特殊的作用。
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| 关 键 词： | 自激振荡 再生颤振 神经网络 |
| 修稿时间： | 2000-04-10 |
SIMULATIVE STUDY ONELIMINATING OF SELF-EXCITED OSCILLATION IN TURNING PROCESS VIA NEURAL NETWORK CONTROLTECHNOLOGY |
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| Wang Xinqing,Wang Yaohua,Yan Jun. SIMULATIVE STUDY ONELIMINATING OF SELF-EXCITED OSCILLATION IN TURNING PROCESS VIA NEURAL NETWORK CONTROLTECHNOLOGY[J]. Chinese Journal of Mechanical Engineering, 2001, 37(6): 102-105 |
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| Authors: | Wang Xinqing Wang Yaohua Yan Jun |
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| Affiliation: | PLA University of Science and Technology |
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| Abstract: | Self excited oscillation in turning process is a kind of unstable phenomenon resulting from former vibration trace. Eliminating of the phenomenon is a key technology in cutting process. Back propagation neural network (BP network) is introduced to control behaviors of nonlinear or unstable system. According to neural network control technology a new technology for the eliminating of self excited oscillation in turning process is put forward. Numerical simulation examples show that such technology plays special roles in the eliminating of self excited oscillation and the control of turning stability. |
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| Keywords: | Self excited oscillation Neural network Regenerative chatter |
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