作　　者： ; ;

机构地区： 北京航空航天大学机械工程及自动化学院

出　　处： 《北京航空航天大学学报》 2003年第7期640-643,共4页

摘　　要： 在已有的偏最小二乘相关算法基础上 ,提出一种简化的递推偏最小二乘算法 ,即直接采用自变量主元的 2个回归系数矩阵来取代残差矩阵进行递推计算 ,进一步简化了递推计算过程 ,在保证建模精度的同时 ,使计算速度提高了近一倍 .并以数控铣削加工过程中切削合力峰值在线建模为应用实例 ,对切削过程z传递函数的参数进行了在线辨识计算 ,由估计模型重构了切削过程的输出 ,其结果与实验测量值是一致的 ,且误差很小 .仿真和实验结果表明 ,该简化递推偏最小二乘建模算法是正确和有效的 ,并且具有计算量小、辨识速度快、建模效率高等特点 ,适用于数据量较大。 Based on the related partial least squares (PLS) algorithms, a new improved recursive partial least squares (SR PLS) algorithm was derived. The SR PLS simplifies the recursive computations by substituting the two principal matrices of the independent variables for the residual matrices directly. By using a computer simulation, it shows the consumed time using SR PLS decreased greatly. The SR PLS was implemented in modeling peak resultant cutting force of an NC machining process. The estimated outputs of the process model with the identified parameters were re constructed, consistent with the measurement. The simulation and experiment demonstrate that the SR PLS algorithm was correct and effective, with the advantages of less computation time, valid parameter estimation and small modeling errors. SR PLS algorithm is suitable for the on line modeling applications in the cases of large scale measurement data and the requirement of high efficiency as well.

关 键 词： 建立模型 参数估计 递推算法 偏最小二乘 切削过程

领　　域： [金属学及工艺] [自动化与计算机技术] [自动化与计算机技术]