基于混合控制的网络系统随机时延补偿  

Delay Compensation of Network Control Systems Based on Hybrid Control Algorithm

作　　者：刘艳红[1] 罗永平[1] 

机构地区：[1]郑州大学电气工程学院,郑州450001

出　　处：《系统仿真学报》2014年第6期1262-1266,共5页Journal of System Simulation

基　　金：国家自然科学基金项目(60974005);教育部博士学科点基金项目(20094101120008);河南省基础与前沿技术研究计划项目(092300410201);河南省教育厅科学技术重点研究项目(13A520379)

摘　　要：针对网络控制系统中普遍存在的随机时延和数据丢包等会导致系统的控制性能下降甚至不稳定的问题,提出了一种新的时延补偿控制算法。首先建立了网络时延的自回归模型并采用最小均方算法对随机时延进行在线预估,然后采用一种新的Fuzzy-PID+JGPC混合控制算法对网络时延进行补偿。采用该算法在时延较小时具有更好的系统实时性,在时延较大时具有更高的系统鲁棒性和稳定性。仿真实验结果表明,该混合控制方法能很好地网络时延进行补偿,具有较好的实时性。The uncertain factors such as the network delays usually deteriorate the control performance and stability of networked control systems（NCS） and even result in instability. A novel hybrid delay compensation method was proposed to enhance the stability of NCS. First, an auto regressive model for the network time delays was established and the parameter self-tuning LMS algorithm was used to realize the online prediction of network delay. Then, a hybrid control of Fuzzy-PID and JGPC algorithm was proposed for the compensation of the networked time delay. For the small time delay NCS, the Fuzzy-PID algorithm was adapted to compensate the network delay and to improve the real-time performance of the system. For the large time delay NCS, the JGPC algorithm was used to improve the robustness of the system. Simulation results show that the proposed method can effectively compensate the network delay and improve the dynamic performance of the NCS.

关 键 词：网络化控制系统 自回归模型 FUZZY-PID算法 JGPC算法 随机时延预测 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]