Like most practical systems, high precision simulator is sensitive to nonlinearities, external disturbances and parameter perturbations. To solve such control problems, an adaptive sliding-mode controller based on RBF network was adopted. The proposed controller was divided into two parts: a nominal feedback controller and a sliding mode disturbance compensator. The feedback controller used pole configuration to stabilize the nominal system. The disturbance compensator used an adaptive RBF network to recognize the upper bound of the uncertainties on line. The result of computer simulation demonstrates the robustness and the effectiveness of the proposed algorithm.