This paper investigates the time-varying (TV) resource management problem (RMP) for microgrids (MGs) under a multi-agent system (MAS) framework. A fully distributed algorithm is developed by integrating a dynamic event-triggered (DET) mechanism with a fixed-time (FXT) consensus control. The proposed method guarantees fast convergence of TV incremental costs and supply-demand balance within a FXT, with settling time independent of initial conditions. In addition, the designed DET mechanism avoids global coordination and significantly reduces communication overhead. Simulation results are presented to validate the effectiveness of the proposed approach in multi-agent TV optimization scenarios.

International audience

With increasingly serious environmental issues such as global warming, fossil fuels are gradually being replaced by clean energy. Fuel cells (FC) combining with hydrogen as a sort of clean energy have already been employed in many applications. Due to the nonlinear current-voltage property of FC, a DC-DC boost converter and a suitable controller are necessary for the FC system. In this paper, an observer-based adaptive sliding mode control is designed by considering the actual vehicle applications with unknown load and variable FC voltage for interleaved boost converter (IBC). The designed controller shows strong robustness in output voltage because of the adaptive laws. The system stability is proofed by Lyapunov functions. Last, the simulations were carried out to further verify the effectiveness of the designed controller.

With the drastic inclination towards reduction of atmospheric issues, fuel-cell vehicles are becoming the major alternative for internal combustion. Due to the characteristics of the fuel cell, multiple-input converter is more attractive in redundancy and safety. In this paper, a multi-input three-phase interleaved boost converter (IBC) is designed by analyzing every state of its work to obtain its averaged state-space equation. Two control methods based on PI and super-twisting (ST) are designed and applied to the converter. A fault-tolerant method is proposed for the IBC. The simulation results of fault-tolerant based on two control methods are compared. The results show that it has better performance in fluctuation of DC bus voltage and inductor current when using ST method.

In this paper firstly, best method identification for data acquisition selection by aim of fault analysis is presented and in continue, a new pattern for a full bridge thyristor base AC-DC converter under failure in view of series hybrid electric vehicle (SHEV) application is identified and presented by the help of experimental test result. Open phase signatures are utilized to introduce a particular frequency pattern, and side-band components changes at proposed frequencies are employed as a proper index for fault recognition.

International audience

This paper presents a detailed modeling and a new control system for electrical traction vehicle with four separate wheel drives. This configuration allows us to improve the operability and thereby safety of vehicles during cornering or under slippery road conditions. With electric motors, it is possible to implement a quick and precise torque control. In order to obtain a better and precise dynamic performance a combined strategy slip-ESP is proposed. Furthermore, a "fuzzy estimator of vehicle speed" which guarantees the reference vehicle speed used in control system is detailed.