伺服系统间隙非线性补偿算法的研究

An Experimental Study of Compensation Algorithms for Backlash Nonlinearity of Servo Systems

  • 摘要: 研究有效消除伺服系统间隙非线性引起的极限环的方法,设计制作含有间隙前后位置检测的数字伺服系统,对直接补偿、BP神经网络补偿,换向补偿等方法进行实验研究与对比。实验结果证明,3种补偿方法均可有效地消除极限环。直接补偿算法精度较差,配以精度补偿可取得更佳效果,换向补偿算法精度最高;BP神经网络补偿算法的精度介于两者之间。

     

    Abstract: To research the method effectively eliminating the limit cycle caused by the backlash characteristics of the servo system, a digital servo system, including the position measuring unit before and after the clearance, was designed to test and compare the three different compensation methods: the direct, BP neural networks and switch compensation. The experimental results showed that all of the three methods are effectual to eliminate the limit cycle. The direct compensation has less accuracy, and need combine with the accuracy compensation to achieve the better result; the switch compensation has the highest accuracy; the accuracy of the BP neural networks compensation is between them.

     

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