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作 者:黄可望[1] 刘婷 潘丰 Huang Kewang;Liu Ting;Pan Feng(School of Internet of Things Technology,Wuxi Institute of Technology,Wuxi Jiangsu 214121,China;Key Laboratory of Advanced Process Control for Light Industry for Ministry of Education,Jiangnan University,Wuxi Jiangsu 214122,China)
机构地区:[1]无锡职业技术学院物联网技术学院,江苏无锡214121 [2]江南大学轻工过程先进控制教育部重点实验室,江苏无锡214122
出 处:《计算机应用研究》2018年第9期2720-2724,2728,共6页Application Research of Computers
基 金:国家自然科学基金资助项目(61273131)
摘 要:针对网络控制系统中随机双向通道时延引起的不确定性问题,提出一种基于时延在线预测模型改进的补偿控制方法。基于自回归模型构建时延预测模型,通过递推最小二乘法实时更新模型参数以预测前向通道时延,并由区间分割法获得高精度的环回时延;设计状态预估器、网络预测器和时延补偿器对环回时延进行补偿,进一步提高系统性能。采用TrueTime工具箱构建网络闭环仿真系统以仿真实际的网络传输情况,同时对PI控制、传统的时延补偿控制以及改进后的时延补偿控制进行对比实验,验证了该方法的优越性。Aiming at the issue of the uncertainty caused by the time delay in the two channels of networked control systems,this paper proposed an improved compensation control method based on the online delay prediction model.First of all,it built the delay prediction model based on autoregressive model and updated the model parameters in real time by the recursive least squares method to predict the forward channel delay.Then,it used the interval partition method to obtain the loop delay with high precision and designed the state predictor,the network predictor and the delay compensation for loop delay compensation to further improve the system performance.Using TrueTime toolbox to construct the simulation system,this paper simulated the actual network transmission and took the comparison of PI control,the time delay compensation control and the improved compensation control to verify the superiority of the method.
关 键 词:网络控制系统 随机时延 广义预测控制 时延预测 TRUETIME
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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