数控机床导轨滑块结合部组建模与参数辨识方法研究

提出理论建模-动态试验-多目标优化技术的广义结合部组参数辨识方法,该方法在综合考虑结合部组与被连接件间的双重耦合特性、构建导轨滑块系统广义等效结合部组模型的基础上,通过结构凝聚技术降低计算成本保证计算精度,最终推导得到约束状态下以阻抗形式表达的整体动力学模型,基于未知传递函数/阻抗数据信息获取,将理论建模、动态试验与多目标优化问题求解相结合对结合部参数进行辨识。实例表明,该广义结合部组参数辨识方法的辨识精度较高,模态频率及频响函数的误差非常小,该辨识方法有效。

Modeling and Parameter Identification of Linear Guideway in NC Machine Tool

Based on theoretical modeling, dynamic test and multi objective optimization technique, a parameter identification method of generalized joints was proposed. The method first considered the double coupling characteristics between joints and machine tool parts, and then constructed the generalized equivalent joint model of linear guideway. By structure condensation technique, more accuracy and higher efficiency of computation were achieved. Finally, the whole structure dynamic model in impedance form under constraint condition was derived. This model combines the theoretical modeling, dynamic test and multi objective optimization problem to identify the joints parameters based on transfer function and impedance information acquisition. The verification examples show that this identification method is effective, the errors of modal frequency and frequency response function are very small, and the identification accuracy is high.