模糊-GPC串级控制在网络时延控制中的应用

为了解决网络闭环非线性控制系统中的时延问题,本文提出了一种在模糊神经网络控制的基础上结合广义预测控制(GPC)处理非线性系统网络时延的方法,建立了网络控制系统的结构模型,并分析了此模型对处理非线性网络控制系统中时延问题的有效性。在MATLAB环境下对网络控制倒立摆系统进行了仿真,通过对比模糊神经网络控制与模糊-GPC串级控制的控制效果,进一步证实了此方法对非线性网络控制系统能够实现稳定控制。

Fuzzy - GPC Serial Control Apply in Networked Delay Control

To solve time delay problem of the nonlinear network closed loop control system, a method of processing nonlinear system network delay was proposed based on the association of fuzzy neural network control and Generalized Predictive Control (GPC). A network closed loop control system (NCS) model was built, and the effectiveness of using this model to solve the problem of nonlinear system time delay was analyzed. The network controlled inverted pendulum system was simulated by MATLAB. The feasibility of the method to control nonlinear NCS stably is further approved by contrast of the control effect of fuzzy neural network control and fuzzy-GPC cascade control.