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Diagnostic de défauts et commande tolérante aux défauts des systèmes à énergie renouvelable

Abstract : The aim of this thesis work is to develop methodological tools for fault diagnosis and fault tolerant control for a multi-source renewable energy production system. In this context we consider an intelligent energy production-storage and consumption system, capable of reacting dynamically to its context of use and whose energy consumption is measured and controlled by monitoring systems. Based on these information flows, the energy performance of existing buildings (new and old) can be monitored, evaluated and controlled by developing methodologies and tools based on relevant factors such as user behaviour, weather forecasts, occurrence of faults, ... This thesis proposes the development of an optimal control scheme to control the climatic conditions of the building. The objective is to ensure the comfort of the occupants with the minimum energy consumption. A MPC (model predictive control) approach is first proposed in a centralized context, then declined in a distributed version for large buildings. In the presence of faults, the energy performance of buildings is degraded and a fault-tolerant control (FTC) should be implemented. The proposed FTC scheme is based on a diagnosis of the building instruments (sensor and actuator) that adapts the control laws so that the current performance remains close to the desired performance. In the thesis these approaches are developed in a linear and then bi-linear modeling framework. Simulation results show the efficiency of the proposed methods.
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Submitted on : Thursday, September 17, 2020 - 2:32:57 PM
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  • HAL Id : tel-02941950, version 1


Abderrahmane Jarrou. Diagnostic de défauts et commande tolérante aux défauts des systèmes à énergie renouvelable. Automatique / Robotique. Université de Lorraine, 2020. Français. ⟨NNT : 2020LORR0052⟩. ⟨tel-02941950⟩



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