Plug-and-play fault diagnosis and control-reconfiguration for a class of nonlinear large-scale constrained systems

摘要

This paper deals with a novel Plug-and-Play (PnP) architecture for thecontrol and monitoring of Large-Scale Systems (LSSs). The proposed approachintegrates a distributed Model Predictive Control (MPC) strategy with adistributed Fault Detection (FD) architecture and methodology in a PnPframework. The basic concept is to use the FD scheme as an autonomous decisionsupport system: once a fault is detected, the faulty subsystem can be unpluggedto avoid the propagation of the fault in the interconnected LSS. Analogously,once the issue has been solved, the disconnected subsystem can bere-plugged-in. PnP design of local controllers and detectors allow theseoperations to be performed safely, i.e. without spoiling stability andconstraint satisfaction for the whole LSS. The PnP distributed MPC is derivedfor a class of nonlinear LSS and an integrated PnP distributed FD architectureis proposed. Simulation results show the effectiveness and the potential of thegeneral methodology.