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An ${oldstyle{H_{infty}}}$ Fault Estimation Scheme of Wireless Networked Control Systems for Industrial Real-Time Applications

机译:工业无线网络控制系统的 $ {old style {H_ {infty}}} $ 故障估计方案实时应用

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In this paper, the fault estimation (FE) problem is investigated for a class of wireless networked control systems (W-NCSs), where an information scheduler is embedded in. Based on time-division multiple access mechanism, the scheduler is modeled by periodic state-space equations, which can order the information medium access time without collision. The integration approach of the W-NCSs and scheduler is very suitable for the application of W-NCSs on industrial automatic control, since the communication is described as deterministic behavior by scheduler, and consequently the high real-time performance can be essentially guaranteed. Based on the integrated model, the FE algorithm is proposed in terms of solution to a set of Riccati difference equations. Compared with the general state-space model of this algorithm, it is worth mentioning that the solution is developed into solving the model with arbitrary inputs. Then, the performance of fault estimator is verified on a physical experimental platform WiNC integrated with three-tank system, which is formulated into discrete periodic system by multirate sampling. Finally, the effectiveness of the FE algorithm developed in this paper is demonstrated.
机译:本文研究了一类嵌入信息调度程序的无线网络控制系统(W-NCS)的故障估计(FE)问题。基于时分多址机制,该调度程序通过周期性建模状态空间方程,可以排序信息介质的访问时间而不会发生冲突。 W-NCS和调度器的集成方法非常适合W-NCS在工业自动控制上的应用,因为调度器将通信描述为确定性行为,因此可以实质上保证高实时性能。在集成模型的基础上,针对一组Riccati差分方程,提出了有限元算法。与该算法的一般状态空间模型相比,值得一提的是,该解决方案已发展为具有任意输入的模型求解。然后,在集成了三罐系统的物理实验平台WiNC上验证了故障估计器的性能,该平台通过多速率采样被制成离散的周期系统。最后,证明了本文开发的有限元算法的有效性。

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