Sliding Mode Control Based on RBF Neural Network for Parallel MachineTool

摘要

The hydraulic control system, an important composition of parallel machine tool, is a high order, nonlinear, parameteruncertain system, which seriously affects the dynamic performance of a machine tool, so it is very difficult to gaingood performance with traditional control methods. The sliding mode control method based on RBF neural network isproposed in this paper. From the simulation results we can obtain that the proposed method is better than the traditionalsliding model control method. Moreover, the result validates the proposed method of Hydraulic system for parallel machinetool and also provides the theoretical and experimental basis.