20-sim software for hierarchical bond-graph/block-diagram models

Broenink, Johannes F.

doi:10.1016/s0928-4869(99)00018-x

Cited by 55 publications

(23 citation statements)

References 11 publications

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“…In the simulation process, the aim is to observe and evaluate the proposed model behavior of the PEM fuel cell and performance. The simulation results shown in Figs and are obtained using the 20‐sim software (University of Twente, Enschede, Netherlands), which is a modeling and simulation program dedicated to the bond graph applications .…”

Section: Experimental Work and Simulation Resultsmentioning

confidence: 99%

Modeling and testing of a 1.2‐kW Nexa fuel cell using bond graph methodology

Mzoughi

Allagui

Bouaicha

et al. 2015

IEEJ Transactions Elec Engng

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Confronted by the energy and environmental challenges, fuel cells raise a lot of hope. Fuel cells are expected to be an important power source in the future, and the proton exchange membrane fuel cell (PEMFC) is one of the potential candidates, being highly suitable for certain applications. The electrochemical components, especially a fuel cell, are naturally multidisciplinary components rather well adapted to this approach: chemistry, electrochemistry, thermal and electrical engineering are involved. We propose a PEMFC model using the bond graph method. This model takes into account the different physicochemical phenomena in a fuel cell. The modeling of the activation layer (AL) and gas diffusion layer (GDL) of the cathode side is highlighted. This model is then validated by an experimental work where we have used a 1.2-kW power PEMFC of the Nexa type from Ballard. The static characteristics of the fuel cell obtained by simulation are in good agreement with those of experiments and also from the literature. The PEM fuel cell has given rise to many research and development activities around the world. The technology is changing rapidly and strongly. This energy converter, both clean and efficient, can convert the chemical energy of hydrogen-predicted as the energy source of the future by leading specialists in view of its specific energy that is three times greater than gasoline-into electrical energy directly usable and thermal energy that it is possible to enhance.The fuel cell involves the oxidation-reduction reaction between hydrogen and oxygen to form water, electricity, and heat [5]. A PEMFC is composed of a stack of electrochemical cells in

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Section: Experimental Work and Simulation Resultsmentioning

confidence: 99%

Modeling and testing of a 1.2‐kW Nexa fuel cell using bond graph methodology

Mzoughi

Allagui

Bouaicha

et al. 2015

IEEJ Transactions Elec Engng

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show abstract

“…This environment uses the different bond graph models of the power section. These models are captured in the 20‐sim software . The simulation scheme of the block (FC3) controller is given by the Figure .…”

Section: Performances Of Robust Control For the Pv Pumping Systemmentioning

confidence: 99%

Bond graph modeling and robust control of a photovoltaic generator that powered an induction motor pump via SEPIC converter

Mezghani

Othmani

Mami

2018

Int Trans Electr Energ Syst

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Summary Currently, the majority of economic activities depend on energy management and water management. We note, in the case of Tunisia, that the quantities of water have changed a little during the last 10 years, and the use of energies renewable energy, such as photovoltaic (PV) energy, has been decisive in curbing the increase in conventional and thus reduce the production of greenhouse gases. Optimum matching of loads to PV generator is most desirable for more accurate sizing. Because of the high PV generator's cost, the system designer is mainly interested in its full utilization by optimum matching of the system components during all operating period. Application of PV power to electromechanical loads requires an understanding of the dynamics of such systems. Our system has a hybrid and complex character and requires a good modeling of the energetic point of view before passing the phase of design of control laws. So, I use the graphical approach of modeling called dedicated bond graph for this type of system, and this tool showed very interesting results in the level of the modeling, dimensioning, monitoring, and diagnostics. The application of bond graph technique for the modeling of PV systems is not yet widespread. On the other hand, in order to ensure optimal operation of the system, to guarantee maximum output energy, and to reduce the adverse effects due to load disturbances, it is necessary to have a robust control of the induction machine against its composition and the existence of the coupling between the magnetic flux and the driving torque on the one hand and on the other hand the use of an estimator for the reconstruction of the flux, which is an almost unmeasurable quantity (requires an expensive and fragile). The purpose of this work is to study the pumping station coupled to a PV generator by a graphical modeling called bond graph, after which I design the laws of robust commutations by fuzzy logic. The design of robust control laws using fuzzy logic in the vector control aims to determine the maximum power point by the optimized P&O algorithm, to control of the mechanical speed of the pump, and to determinate of the reference speed that I get a maximum efficiency of the structure. The results of simulations show the robustness and performance of these fuzzy controllers.

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“…Figure 12 shows the construction of the Luenberger observer of the system using the bond graph approach without faults. After simulation in 20-sim software [34], we obtain Figure 13. Figures 13a-13c show the evolution simulation results of the system output variables with those of the observer estimated outputs.…”

Section: State Equationsmentioning

confidence: 99%

Diagnosis of reverse osmosis desalination water system using bond graph approach

Sallami¹,

Mzoughi²,

Mami³

2018

Turk J Elec Eng & Comp Sci

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Industrial systems have become quite complicated. It is therefore necessary to look for a reliable supervision system to properly treat the information and make the appropriate decision to stop the system or leave it in operation.Supervision of automated systems goes to the heart of the matter. This paper concerns the design of a new methodology for diagnosis based on bond graph modeling. We apply a diagnostic method by Luenberger observer using the bond graph approach on a desalination unit. Tests are carried out on the water input pressure delivered by the pump and the output flow rates of the reverse osmosis. This method will allow us to test normal and failure operations of an industrial system. The roles of diagnostic systems for industrial processes consist of detecting and locating faults, also called residues, that will affect these processes. In order to be effective, the diagnostic system should be robust for residue analysis and insensitive to false alarms. In this context, the development of the proposed method is described from the step of modeling to the step of generation of certain residues.

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20-sim software for hierarchical bond-graph/block-diagram models

Cited by 55 publications

References 11 publications

Modeling and testing of a 1.2‐kW Nexa fuel cell using bond graph methodology

Modeling and testing of a 1.2‐kW Nexa fuel cell using bond graph methodology

Bond graph modeling and robust control of a photovoltaic generator that powered an induction motor pump via SEPIC converter

Diagnosis of reverse osmosis desalination water system using bond graph approach

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