| BP神经网络的摩擦力补偿算法研究 |
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| 引用本文： | 王欣峰,任淑萍.BP神经网络的摩擦力补偿算法研究[J].机械管理开发,2009,24(3). |
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| 作者姓名： | 王欣峰 任淑萍 |
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| 作者单位： | 山西大学,工程学院,山西,太原,030013 |
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| 摘 要： | 针对伺服系统中非线性摩擦力的影响,提出了一种基于BP神经网络的摩擦力补偿.通过神经网络的学习,可以改变PID的参数,从而达到对摩擦力的补偿.并通过MATLAB对系统进行了仿真,证明了该方法的有效性.
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| 关 键 词： | 摩擦力补偿 神经网络 BP算法 神经PID |
Study on BP Neural Network to Friction Compensation |
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| WANG Xin-feng,REN Shu-ping.Study on BP Neural Network to Friction Compensation[J].Mechanical Management and Development,2009,24(3). |
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| Authors: | WANG Xin-feng REN Shu-ping |
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| Affiliation: | College Engineering of Shanxi University;Taiyuan 030013;China |
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| Abstract: | Aimed at the affection of nonlinear friction in servo system,friction compensation based on BP neural network is brought forward.The PID parameters can be changed automatic by studying of neural network and the friction can be compensated.MATLAB is used to simulate system,and this method is proved valid. |
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| Keywords: | Friction compensation Neural network BP algorithm Neural PID |
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