基于数据驱动的凸轮磨削轮廓误差补偿

针对数控凸轮磨削机床在加工过程中存在的周期性、重复性轮廓误差和不易建模等问题，提出一种基于数据驱动的轮廓误差补偿策略。在数控凸轮磨削机床的单轴伺服跟踪系统中加入无模型自适应迭代学习控制，该方法沿迭代轴引入伪偏导数，将复杂的非线性系统动态线性化处理。针对两轴之间由于伺服跟踪误差不同导致的滞后量不同，利用交叉耦合迭代学习控制，将补偿量按照交叉耦合系数反馈到单轴伺服控制系统中，实现对凸轮磨削轮廓误差的补偿。最后通过仿真实验验证了提出的轮廓误差补偿策略可以有效减小凸轮的轮廓误差，提高了数控凸轮磨削机床的加工精度。

Profile Error Compensation for Cam Grinding Based on Data Driven

Aiming at the problems of periodic and repetitive profile errors and difficult modeling in CNC cam grinding machine,a data driven profile error compensation strategy was proposed.In the single axis servo tracking system of CNC cam grinding machine,a model-free adaptive iterative learning control was added,and the pseudo partial derivative was introduced along the iterative axis to dynamically linearize the complex nonlinear system.In view of the different hysteresis caused by the different servo tracking errors between the two axes,cross coupled iterative learning control was used to feedback the compensation amount to the single axis servo control system according to the cross coupling coefficient to realize the compensation of the cam grinding profile error.According to the simulation experiment results,the proposed profile error compensation strategy can effectively reduce the profile error of the cam and improve the machining accuracy of the CNC cam grinding machine.