This paper proposed a control method for the single manipulator of control based on RBF neural network model.RBF neural network，the radial basis function，is a threelayer feedforward network with single hidden layer.Its mapping is nonlinear from input space to the output space，but from the hidden layer to the output space，its mapping presents linear space，and because it used Gaussian basis function as role function of the RBF network，its output is associated with some adjustable parameters，and it is not zero in the limited range of input space，so it is a kind of local approximation of the neural network method，it can quickly learn and avoid local minimum problem in the RBF network,and it satisfies the requirement of the control in the realtime.It is found that the RBF neural network model can improve the control accuracy，robustness and adaptability significantly through the establishment of Simulink control system simulation of the relevant models and the discrete digital simulation of M language. Its Control effect is good.