Abstract

Inland navigation networks are large-scale systems that can be described by using the nonlinear Saint-Venant partial differential equations. However, as there is no analytical solution for them, simplified models are used instead for modeling purposes. This work addresses the modeling of two sub-reach systems by means of the well-known Integrator Delay Zero model. Two main scenarios are considered: in the first one, the two partial models are independently computed one from each other; the second one uses previous knowledge of the whole two sub-reach system in order to ensure the flow consistency along the system. The application of these two methodologies to a part of the navigation network in the north of France serves as the case study for this work. Peer Reviewed

Abstract

Inland navigation networks are equipped with limnimeters to measure and record water level data for the control of water levels and the management of water resources. When faults occur on sensors, corrupted data can be considered as correct, leading to undesirable management actions. Therefore, it is necessary to detect and localize these faults. In this paper, the detection and localization of sensor faults is performed through the analysis of the parameters of a grey-box model, which are obtained from available real data. The parameters are determined with a sliding window, with the exception of the delays, which are considered known a priori. A fault is detected and then localized when there is a change in the value of the parameters. This approach is well suited for constant faults and particularly well adapted for intermittent faults. Data of an inland navigation reach located in the north of France are used to highlight the performance of the proposed approach. This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the projects DEOCS (ref. MINECO DPI2016- 76493), SCAV (ref. MINECO DPI2017-88403-R) and through the grant IJCI-2014-20801. This work has also been partially funded by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (2017 SGR 482). Peer reviewed

Abstract

@2017 Personal use of these materials is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating news collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works Inland navigation networks are large-scale systems with large dead times, nonlinearities and variable time delays. They are composed of interconnected reaches. The management goal is to maintain the water level of each reach around a certain value. In this paper, a decentralized control approach is addressed to fulfill this objective. It is based on IDZ models by considering connected reaches with distributaries. A real navigation sub-network in the north of France serves as the case study for this work. Peer Reviewed

Abstract

This article regards the development of an analytical redundancy-based approach for detecting and isolating both sensor and actuator faults in flat inland navigation canals. Inland navigation networks are principally used for transport and are composed of many canalized natural rivers and artificial canals characterized by no slope. These canals are strongly affected by resonance phenomena, which can create waves such that the navigation condition might not be guaranteed. It is, therefore, required to ensure dealing with fault-free measured data and actuators. The proposed approach is based on the integrator delay zero model of the flat inland navigation canal. The proposed method is tested by considering the Cuinchy–Fontinettes navigation reach (in the north of France) to detect and isolate the occurrence of faults in the Cuinchy and Fontinettes level sensors and in the Cuinchy gate. This work has been partially funded by the Spanish Ministry of Economy and Competitiveness (MINECOP) and FEDER through the project HARCRICS (ref. DPI2014-58104- R) and through the grant IJCI-2014-20801. Peer reviewed