基于T-S模糊控制器的网络控制系统仿真研究  

Simulation Research of Networked Control System Based on T-S Fuzzy Controller

作　　者：张晓倩[1] 宋晓茹[1] 

机构地区：[1]西安工业大学电子信息工程学院,陕西西安710032

出　　处：《计算技术与自动化》2017年第2期37-40,共4页Computing Technology and Automation

基　　金：陕西省自然科学基础研究计划(2014JM2-6093)

摘　　要：为了研究网络控制系统不同的控制算法对系统的影响,利用Matlab中Simulink模块和TrueTime工具箱搭建网络控制系统的模型,当网络控制系统存在一定时延时,分别搭建采用PID控制器的网络控制系统的模型和采用T-S模糊控制器的网络控制系统的模型,仿真分析系统的输出曲线,结果表明:采用T-S模糊控制器的系统输出曲线超调量小,调节时间短,很快达到稳定,说明基于T-S模糊模型的控制算法能够补偿时延,提高系统的稳定性。In order to study the influence of different control algorithms on the networked control system, the model of networked control system is built by using simulink module in matlab and TrueTime toolbox, Models are built respectively by using PID controller of networked control system and T-S fuzzy controller of networked control system, simulation analy- sis of the output curve of system when networked control system has some time delay. The results show： the system output curve with T-S fuzzy controller have small overshoot, short adjusting time, quickly achieve stability, control algorithm based on T-S fuzzy model can compensate delay, improve the stability of system.

关 键 词：网络控制系统 T-S模糊控制器 TRUETIME工具箱 稳定性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]