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Model Prediction-Based Approach to Fault Tolerant Control with Applications

机译:基于模型预测的容错控制方法及其应用

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摘要

Abstract— Fault-tolerant control (FTC) is an integral component in industrial processes as it enables the system to continue robust operation under some conditions. In this paper, an FTC scheme is proposed for interconnected systems within an integrated design framework to yield a timely monitoring and detection of fault and reconfiguring the controller according to those faults. The unscented Kalman filter (UKF)-based fault detection and diagnosis system is initially run on the main plant and parameter estimation is being done for the local faults. This critical information\udis shared through information fusion to the main system where the whole system is being decentralized using the overlapping decomposition technique. Using this parameter estimates of decentralized subsystems, a model predictive control (MPC) adjusts its parameters according to the\udfault scenarios thereby striving to maintain the stability of the system. Experimental results on interconnected continuous time stirred tank reactors (CSTR) with recycle and quadruple tank system indicate that the proposed method is capable to correctly identify various faults, and then controlling the system under some conditions.
机译:摘要—容错控制(FTC)是工业过程中不可或缺的组成部分,因为它使系统能够在某些条件下继续稳定运行。本文提出了一种在集成设计框架内针对互连系统的FTC方案,以产生对故障的及时监视和检测,并根据这些故障重新配置控制器。基于无味卡尔曼滤波器(UKF)的故障检测和诊断系统最初在主工厂上运行,并且正在对局部故障进行参数估计。该关键信息通过信息融合与主系统共享,该主系统使用重叠分解技术将整个系统分散。使用分散子系统的此参数估计值,模型预测控制(MPC)可以根据\ udfault方案调整其参数,从而努力维持系统的稳定性。具有循环和四缸系统的互连连续时间搅拌釜反应器(CSTR)的实验结果表明,该方法能够正确识别各种故障,然后在某些条件下控制系统。

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