Terminal sliding mode control for STT missile based on RBF neural network

Abstract

The output-redefinition approach is applied in the overload control system, in order to remove the nonminimum phase characteristic of overload output. It utilizes the combination of overload and angle rate to redefine the new output for the sake of easy measurement. In order to improve the tracking speed and to estimate the lumped uncertainty, the Terminal sliding mode (TSM) controller based on RBF neural network is designed in the overload control system. A simulation example is illustrated to compare the TSM controller with the conventional SMC, and the simulation results show that the former has faster tracking speed than the later. © 2012 Springer-Verlag GmbH.