摘要
在网络控制系统中,针对通过网络进行数据传输时产生网络诱导时延使得系统性能恶化的问题,提出一种改进Smith预估器的模糊控制方法。在控制器端引入改进的Smith预估控制器,解决被控对象模型不匹配的问题,同时,增大系统的截止频率,得到较快的系统响应。在控制器设计中采用模糊控制算法将控制器设计为模糊控制器,模糊控制器是一种无需被控对象精确数学模型且采用模糊集合论的语言控制器,能够取得较好的控制效果,具有较强的鲁棒性。最后通过仿真,验证了该方法的有效性。
In the network control system,a fuzzy control method for improving the Smith predictor is proposed for the problem that the network induced delay caused by network transmission during data transmission deteriorates the system performance.An improved Smith predictor controller is introduced at the controller end to deal with the mismatching of the controlled object model.At the same time,the cutoff frequency of the system is increased to obtaina faster system response.In the controller design,a fuzzy control algorithm is adopted to design the controller as a fuzzy controller.The fuzzy controller is a language controller that does not need precise mathematical model of the controlled object and adopts fuzzy set theory.It can achieve better control effect,and has strong robustness.The effectiveness of the method is verified with simulation.
作者
张磊
王思明
ZHANG Lei;WANG Siming(School of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《现代电子技术》
北大核心
2020年第1期126-130,共5页
Modern Electronics Technique
基金
国家自然科学基金资助项目（61263004）
关键词
网络控制系统
模糊控制器
预估控制
时延补偿
模型匹配
控制器设计
network control system
fuzzy controller
prediction control
delay compensation
model matching
controller design
