Beckhoff Optimizes Linear Motion with Machine Learning Solution that Eliminates Cogging

高度动态的AL8000线性电动机Beckhoff现在，与新的Twincat Cogging补偿软件满足准确性和同步的更高要求。这使线性电动机特别适合高精度应用，例如铣床或激光切割机。Cogging补偿软件利用机器学习无缝集成到Twincat中，并以全自动的基础应用（Engineering TE5920，Runtime TF5920）。

Cogging forces in linear motors are caused by the magnetic attraction between the iron core in the primary part and the permanent magnets in the secondary part. This physical effect leads to an unwanted and uneven “cogging” of the motor, meaning that applications with extremely high accuracy and synchronization requirements can only be executed to a limited extent. This is where the AL8000 linear motors in combination with the TwinCAT Cogging Compensation software offer an ideal solution: the cogging forces are reliably compensated with the help of this software, which accounts not only for magnetic effects but also factors related to mechanical design or energy chains. As a result, the range of possible applications for the AL8000 iron-core linear motors is significantly expanded.

Cogging补偿基于Twincat中机器学习的完全自动化应用。该软件是在线性电动机的磁性轨道的整个长度上独立记录各自客户应用中必要的齿轮数据。在获取的数据的帮助下，该软件训练神经网络，该网络最终集成到当前预控制的控制系统中。以这种方式调整当前的预控制可以将滞后误差减少到7倍，并将机器的同步提高到5倍，而没有任何硬件更改AL8000。