CO2激光微加工实验台定位精度预测模型研究

Research on Position Accuracy Forecasting Model of CO_2 Laser Micromachining Table

为了提高CO2激光微加工实验台定位精度,提出基于LSSVM的直线电机定位精度误差回归建模和预测方法。采用径向基核函数的LSSVM对不同速度和加速度下的直线电机伺服系统定位误差进行了预测。研究结果表明,采用径向基核函数的LSSVM能提高预测精度,取得较好的预测结果。

In order to increase CO2 laser micromachining table position accuracy,regression modeling and forecasting methods of the linear motor position error are put forward based on LSSVM.LSSVM has excellent learning and statistical functions.Predicting model is founded by kernel function.Learning machine is trained with learning sample used known data.Further error of the system is tested and predicted with testing sample.Position error prediction about various speeds and accelerations are put forward based on LSSVM introduction radial group kernel function,and error compensation is processed.Research results indicate that the use of radial basis function of the LSSVM can improve forecast accuracy,made the forecast better results.