Wireless Networked Control Systems with neural networks and ant colony optimization algorithm
作者单位：College of Computer Science and Information EngineeringChongqing Technology and Business University School of Electrical and Electronics EngineeringChongqing University of Technology
会议名称：《第37届中国控制会议》
会议日期：2018年
学科分类：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：supported by Scientific and Technological Research Program of Chongqing Education Commission(KJ1500619),and supported by Scientific and Technological Research Program of Chongqing Education Commission(KJ130834) supported by Natural Science Foundation Project of Chongqing CSTC(CSTC2012jjA40061)
关 键 词：Large delay time Neural network prediction model Ant colony optimization algorithm Wireless networked control systems(WNCS) Network delay Smith predictor
摘 要：Due to Wireless network delay and large delay time of the controlled plant,the performance of the wireless networked control systems（WNCS） is *** order to effectively eliminate the influence of network delay and large delay time,a novel structure of the WNCS is proposed that new Smith predictor combined with neural network prediction and identification *** system’s delay time must be well *** abrupt mutation result from the training error sum square of the real output and the expected output of the neural network was used to identify the delay *** input sample period of the neural network was changed so that it could discriminate the delay time of the nonlinear *** discriminated large timedelay was applied to neural network prediction *** errors between input and prediction model output were used to search PID controller parameters based on ant colony optimization *** method was applied to control boiler combustion *** simulation results show that this scheme has much better advantage of celerity and *** is the paper style requirement for the Chinese Control *** writers of papers should and must provide normalized electronic documents in order for readers to search and read papers conveniently.