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首页> 外文期刊>Automatic Control, IEEE Transactions on >Plug-and-Play Fault Detection and Control-Reconfiguration for a Class of Nonlinear Large-Scale Constrained Systems
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Plug-and-Play Fault Detection and Control-Reconfiguration for a Class of Nonlinear Large-Scale Constrained Systems

机译：一类非线性大型约束系统的即插即用故障检测与控制重配置

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摘要

This paper deals with a novel Plug-and-Play (PnP) architecture for the control and monitoring of Large-Scale Systems (LSSs). The proposed approach integrates a distributed Model Predictive Control (MPC) strategy with a distributed Fault Detection (FD) architecture and methodology in a PnP framework. The basic concept is to use the FD scheme as an autonomous decision support system: once a fault is detected, the faulty subsystem can be unplugged to avoid the propagation of the fault in the interconnected LSS. Analogously, once the issue has been solved, the disconnected subsystem can be re-plugged-in. PnP design of local controllers and detectors allow these operations to be performed safely, i.e., without spoiling stability and constraint satisfaction for the whole LSS. The PnP distributed MPC is derived for a class of nonlinear LSSs and an integrated PnP distributed FD architecture is proposed. Simulation results in two paradigmatic examples show the effectiveness and the potential of the general methodology.
机译：本文讨论了一种新颖的即插即用（PnP）架构，用于控制和监视大型系统（LSS）。所提出的方法在PnP框架中将分布式模型预测控制（MPC）策略与分布式故障检测（FD）体系结构和方法集成在一起。基本概念是将FD方案用作自治决策支持系统：一旦检测到故障，就可以拔出故障子系统，以避免故障在互连的LSS中传播。类似地，解决问题后，可以重新插入断开连接的子系统。本地控制器和检测器的PnP设计允许安全地执行这些操作，即不会破坏整个LSS的稳定性和约束满意度。针对一类非线性LSS推导了PnP分布式MPC，并提出了一种集成的PnP分布式FD架构。在两个范例示例中的仿真结果显示了通用方法的有效性和潜力。

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