Fuzzy immune control and new Smith predictor for wireless networked control systems

F. Du, W. Du
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引用次数: 1

Abstract

To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.
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无线网络控制系统的模糊免疫控制和新型Smith预测器
针对无线网络控制系统(WNCS)中的时变或不确定网络延迟,以及被控对象的Smith预测模型与真实模型可能不匹配的问题,提出了一种结合模糊免疫控制的Smith动态预测模型。由于新的Smith动态预测器将网络时延的预测模型隐藏在真实的网络数据传输过程中,从而不再需要在线测量、识别和估计网络时延。适用于无线网络时延随机、时变或不确定,可能比一个、甚至几十个采样周期大,同时在闭环中存在一些数据丢失的场合。基于IEEE 802.15.4 (ZigBee)标准的仿真结果表明了该控制方案的有效性,并表明系统具有较好的动态性能和鲁棒性。
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