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针对数控机床能量效率难于直接获取的问题,结合折息递推辨识算法给出一种新的机床能效预测方法。基于机床主传动系统功率平衡方程及附加载荷损耗函数,得出切削功率的估计模型;进一步考虑模型中的附加载荷损耗系数无法直接测量,采用折息递推辨识算法对附加载荷损耗系数进行辨识,从而估算出切削功率,根据机床的能效定义计算出能效值。实验与仿真结果表明,采用折息递推辨识方法估计附加载荷损耗系数,能够比采用传统最小二乘估计获得更高的辨识精度,求取的机床效率与其它方法相比更接近真实值。
Aiming at the problem that the energy efficiency of CNC machine tools is difficult to obtain directly, a new forecasting method of machine tool energy efficiency is given by combining the discount recursive identification algorithm. Based on the power balance equation and additional load loss function of the main drive system of the machine tool, an estimation model of cutting power is obtained. Further consider that the additional load loss coefficient in the model can not be directly measured, and the additional load loss coefficient is identified by using the discount recursive identification algorithm, Thus, the cutting power is estimated, and the energy efficiency value is calculated according to the energy efficiency definition of the machine tool. Experiments and simulation results show that using the discount recursive identification method to estimate the additional load loss coefficient can obtain higher recognition accuracy than the traditional least-squares estimation, and the obtained machine tool efficiency is closer to the real value than other methods.