A survey of bond graphs : Theory, applications and programs

Filippo, Jenny Montbrun-Di; Delgado, Marisol; Brie, Claude; Paynter, H. M.

doi:10.1016/0016-0032(91)90044-4

Cited by 41 publications

(14 citation statements)

References 207 publications

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“…Since control behaviour is often unrelated to geometry and shape, the typical simulation constructs for continuous control behaviour are based on nongeometric representations such as block diagrams and bond graphs, for which various modelling and simulation packages are available [34,35]. Several application examples can be found in [15] and many other publications.…”

Section: Simulation Of Continuous Control Behaviour Of Artefacts and mentioning

confidence: 99%

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Vegte

Horváth

2011

Modelling and Simulation in Engineering

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To include user interactions in simulations of product use, the most common approach is to couple human subjects to simulation models, using hardware interfaces to close the simulation-control loop. Testing with virtual human models could offer a lowcost addition to evaluation with human subjects. This paper explores the possibilities for coupling human and artefact models to achieve fully software-based interaction simulations. We have critically reviewed existing partial solutions to simulate or execute control (both human control and product-embedded control) and compared solutions from literature with a proof-of-concept we have recently developed. Our concept closes all loops, but it does not rely on validated algorithms to predict human decision making and low-level human motor control. For low-level control, validated solutions are available from other approaches. For human decision making, however, validated algorithms exist only to predict the timing but not the reasoning behind it. To identify decision-making schemes beyond what designers can conjecture, testing with human subjects remains indispensable.

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Section: Simulation Of Continuous Control Behaviour Of Artefacts and mentioning

confidence: 99%

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Vegte

Horváth

2011

Modelling and Simulation in Engineering

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“…Bond graph is a dynamic analysis method for engineering systems that handles multiple energy categories by using a unified bond element model [16]. It can clearly and intuitively represent the power flow relationship between system components and subsystems [17]. Since the creation of bond graph, researchers at home and abroad have mainly conducted relevant exploration research in three directions [18].…”

Section: Bond Graphmentioning

confidence: 99%

Quantitative Selection Method of Product Conceptual Scheme Based On Bond Graph

Jiang

et al. 2020

Preprint

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The optimum conceptual scheme is mostly selected based on qualitative decision-making evaluation methods in conceptual design stage of engineering product, which lacks quantitative verification and evaluation. To solve this problem, quantitative selection method of product conceptual scheme based on bond graph is proposed. Through analyzing the correlation between function, effect and bond element, the bond graph model and corresponding AMESim simulation model of conceptual scheme are constructed to verify the feasibility of conceptual scheme, and the quantitative evaluation index of function-performance requirements is calculated. A conceptual scheme selection method considering quantitative evaluation index and qualitative evaluation by experts is proposed to obtain the optimum scheme. The conceptual scheme selection of transmission system of a shearer cutting unit is taken as an example to verify the effectiveness of the proposed method.

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“…Moreover, bond graph (Di Filippo et al, 2002) appears now as a powerful tool for modeling and analysis of dynamical system, traditionally used to describe continuous-time physical processes with a fixed structure (Cellier, 1995).…”

Section: Introductionmentioning

confidence: 99%

“…The step that we propose was thought in this objective and consists in establishing a systematic method which binds the bond graph technique (Di Filippo et al, 2002) to the wave-scattering formalism (Paynter and Busch-Vishniac, 1988).…”

Section: Introductionmentioning

confidence: 99%

How to Find Wave-Scattering Parameters from the Causal Bond Graph Model of a High Frequency Filter

Taghouti¹

2010

American Journal of Applied Sciences

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Problem statement: The aim of this study is to use the bond graph technique and the wave-scattering formalism, jointly, to determine the scattering matrix of a high frequency filter with cut-off frequency 10 GHz. Approach: The first step consist to model the high frequency filter by bond graph approach, afterward, we decomposed the obtained causal bond graph model under an elementary structures of a cascaded sub-model, where, each one containing only 0-junction (parallel admittance) and 1-junction (series impedance). The causal ways and algebraic loops present in each causal bond graph sub-model, allows us to derive the elementary wave matrix W⁽ⁱ⁾ of each sub-model. Results: The total or global wave matrix W^(T) of the high frequency filter is given by the product of all elementary wave matrixes W⁽ⁱ⁾. Conclusion: The scattering matrix S of the studied filter can be inferred by use of the founded wave matrix W^(T) which relates the incident and reflected waves at one port directly to the incident and reflected waves at the adjacent port and the relations linking the S coefficients to the W coefficients. Finally, the scattering parameters, founded from the wave matrix, will be checked by comparison of the simulation results

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A survey of bond graphs : Theory, applications and programs

Cited by 41 publications

References 207 publications

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Quantitative Selection Method of Product Conceptual Scheme Based On Bond Graph

How to Find Wave-Scattering Parameters from the Causal Bond Graph Model of a High Frequency Filter

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