Fault tolerant control of rhine-meuse delta water system: A performance assessment based approach

An occurrence of potential faults/hazardous situations could jeopardize the safety and reliability of complex dynamical systems. A new Fault Tolerant Control (FTC) methodology capable of preventing floods in the land areas close to the Rhine-Meuse Delta water system is proposed in this paper. The Delta water network is a Large-Scale System (LSS) with many barriers and sluices and is of enormous economic importance to Europe. Floods in this water network have damaged the system and cities around it. Thus, control of this complex water system is necessary. To monitor this complex system and detect any anomalies in a timely fashion, a fault diagnosis method using a Control Performance Index (CPI) is proposed for this large-scale water system. After fault diagnosis is performed, a switching mode control is devised to prevent potential flood situations. The switching controller is self-modified via the performance index information. Simulation tests are performed using experimental data from the aforementioned water system to examine the effectiveness of the suggested FTC method in comparison with the FTC using historical benchmark performance assessment method and the current controller of this water network system

Novel Multiagent Model-Predictive Control Performance Indices for Monitoring of a Large-Scale Distributed Water System

High-order, often distributed, dynamical systems composed of several interconnected subsystems are often referred to as large-scale systems (LSSs). LSSs are often hard to control with a single centralized controller due to the complexity imposed by the system\u27s dimensionality and distributedness. As a result, decentralized or hierarchical control schemes are employed in controlling LSSs. Control performance assessment (CPA) is an important strategy to analyze the efficiency of controllers in LSSs. This paper presents CPA for the Rhine-Meuse Delta water system in The Netherlands. The water system consists of a large number of rivers and sea outlets with barriers and sluices. A flood in this area can damage the ecosystem and cities around it. Thus, it is essential to control this LSS in a way to protect the distributed water system against floods. For this purpose, a multiagent predictive control is developed to control the subsystems in the LSS. Further, two novel control performance indices (CPIs) based on the model-predictive control strategy are introduced to monitor the performance of the controllers and detect any changes in the system. Finally, the root cause of controller deficiencies is diagnosed. The suggested CPIs are compared with a historical performance index. Simulation results show the ability and effectiveness of the proposed CPIs in comparison with the performance measure used in the past