Partial linear models have been discussed by many people and applied widely in many fields.Many approaches are developed to estimate the unknown parameters and the unknown functions

but these approaches are lack of robustness.The robust M-estimation on partial linear models was studied.The estimator of parametric component was developed by using local M-estimation method and average method

the estimator of nonparametric component was given by back fitting method.Asymptotic normality of these estimators was investigated.One simulation shows the effectiveness of the proposed procedure.