无线网络控制系统中多传感器估计性能优化研究  

Performance Optimization of Multi-sensor Estimation in Wireless Network Control System

作　　者：胡亮 孙杨燕 HU Liang;SUN Yang-yan(School of Information Science and Technology,Zhejiang SCI-TECH University,Hangzhou 310018,China)

机构地区：[1]浙江理工大学信息学院,浙江杭州310018

出　　处：《软件导刊》2020年第5期195-198,共4页Software Guide

基　　金：国家自然科学基金项目(61403347);浙江省自然科学基金项目(LY17F030023)。

摘　　要：在无线网络控制系统中,多传感器之间通过信道传输数据时可能会产生时延以及丢包等现象,这种传输误差以指数级增长,造成在某个时刻之后中心处传感器估计值与真实值相差过大。为降低估计误差,通过分析信道参数特征计算出信道临界丢包率,并且给出在信道质量下降时进行切换的判断条件,再利用卡尔曼滤波计算中心处传感器的估计值,在传输出现丢包时进行信道切换。仿真结果表明,通过给出的信道切换方法和切换条件,在同等传输条件下,双信道传输情况下某时刻中心处传感器的估计误差比单信道传输平均下降了23.8%。In wireless networked control systems,when multi-sensor transmits data through the channel,it may cause delay and pack⁃et loss.This transmission error increases exponentially,resulting in a large difference between the estimated value and the real value of the sensor at the center after a certain time.In order to reduce the estimation error,the critical packet loss rate of the channel is calcu⁃lated by analyzing the parameters of the channel,and the judgment condition of handover is given when the quality of the channel de⁃creases.Then the estimation value of the sensor at the center is calculated by Kalman filter,and the channel is switched in case of packet loss in transmission.The simulation results show that the estimated error of the center sensor at a certain time through du⁃al-channel transmission is reduced by 23.8% compared with the single channel transmission under the same transmission conditions.

关 键 词：无线网络化控制 多传感器 卡尔曼滤波 最优状态估计 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]