一类非线性系统的模糊神经网络全局滑模控制

Global sliding mode control based on fuzzy neural network for a class of nonlinear systems

文中针对一类非线性系统提出了一种基于模糊神经网络的全局滑模控制策略。设计了模糊神经全局滑模函数,并根据Lyapunov稳定性理论设计出控制器和自适应律。文中以三相并联型有源电力滤波器为实例在MATLAB平台上进行了仿真实验,电网电流谐波畸变率由24.71%降低到1.6%,表明所提出的方案具有很好的补偿性能。

In this paper,a global sliding mode control strategy based on fuzzy neural network is proposed for a class of nonlinear systems.This paper designs a global sliding mode function based on fuzzy neural network.The control law and the adaptive law are designed by the Lyapunov stability theory.A three-phase shunt active power filter is studied as case study to verify the validity of the algorithm on the MATLAB/Simulink.Simulation results show the THD of grid current decreases from 24.71% to 2.32%,which shows that the proposed scheme has good compensation performance.