网络闭环系统的离散模糊控制

Discrete fuzzy control of network closed loop system

针对网络控制系统(NCS)存在时延的情况下如何设计控制器问题,提出了一种新的网络闭环控制系统建模方法-离散模糊T-S模型,并在此模型的基础上应用平行分布补偿原理设计了NCS模糊控制器;应用Lyapunov理论和LMI方法,研究了系统的模糊稳定控制问题,给出了基于线性矩阵不等式的不依赖时滞的状态反馈模糊控制器的设计方法,并获得了NCS模糊控制的稳定充分条件为求解一组线性矩阵不等式;通过仿真验证了该控制方法的有效性。

To solve the controller design problem of networked control systems （NCS） with time delay, a new modeling method of network closed loop control system--discrete fuzzy T-S model is proposed and a NCS fuzzy controller is designed applying the parallel distributing compensation theory based on this model. Lyapunov theory and Linear Matrix Inequality （LMI） method are used to study the problem of fuzzy stable control. A design approach of state feedback fuzzy controller independent of time delay is proposed based on LMI, and the sufficient condition of NCS fuzzy stability is deduced to solve a group of LMIs. Simulation results show the effectiveness of the proposed method.