Bond graph aided design of controlled systems

Dauphin-Tanguy, G.; Rahmani, Ahmed; Sueur, C.

doi:10.1016/s0928-4869(99)00009-9

Cited by 91 publications

(45 citation statements)

References 11 publications

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“…attainability condition and sufficient condition (Dauphin-Tanguy et al, 1999), need to be satisfied in the first step of FDI analysis. Attainability condition states that, in integrally causalled model, each storage element has a causal link to each observer (sensor).…”

Section: Analytical Redundancy Relationsmentioning

confidence: 99%

Single fault isolation of a Hydrostatic Transmission System: Simulation and Experimentation

Samanta¹,

Ghoshal²

2013

JMSIC

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In this article, different methodologies in the area of system identification, parametric fault isolation, robustness in fault diagnosis have been surveyed and applied to a pedagogical HydroStatic Transmission (HST) system. A Bond Graph (BG) model for the system has been developed and then nonlinear regression analysis was done on the state equations, obtained from that model, to estimate the unknown parameters as a part of system identification. The test bench was designed to introduce faults in different components for the purpose of experimental validation of Fault Detection and Isolation (FDI). The model based single fault isolation was done by using structural analysis of some constraint relations, called Analytical Redundancy Relations (ARR), the numerical evaluation of which are called residuals. The robustness in fault isolation was addressed through Linear Fractional Transformation (LFT) approach to make residuals insensitive to uncertainty of system parameters, but sensitive to fault.

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Section: Analytical Redundancy Relationsmentioning

confidence: 99%

Single fault isolation of a Hydrostatic Transmission System: Simulation and Experimentation

Samanta¹,

Ghoshal²

2013

JMSIC

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“…Let us suppose that the system (1) On the bond graph model, the number of the infinite zeros of (A, B, C) is equal to the number of disjoint I/O causal paths and their orders are computed as in equation (5), where k L is the lowest sum of the lengths of the k I/O disjoint causal paths (Dauphin-Tanguy, et al, 1999 and.…”

Section: Infinite Structure Analysismentioning

confidence: 99%

“…Several works were achieved to develop system analysis using causal bond graphs, like stability analysis (Margolis 1984) or flatness study (Junco et al 2005). The structure analysis by bond graph approach of linear time-invariant systems was introduced by (Rahmani et al 1996;Dauphin-Tanguy, et al, 1999;Karim et al 2003) to simplify decouplability study of these systems and without making any calculation. So, static decoupling conditions were defined on the bond graph model.…”

Section: Introductionmentioning

confidence: 99%

On The Role Of Essential Orders On Feedback Decoupling And Model Inversion: Bond Graph Approach

Feki¹,

Loreto²,

Bideaux³

et al. 2008

ECMS 2008 Proceedings Edited By: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain

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The essential orders have an important role in the study of the systems decouplability as well as in the inverse model characterization. The aim of this paper is first to define essential orders on the bond graph model. Secondly, static and dynamic decoupling by bond graph approach is discussed and the dynamic extension order is defined. Finally, the dynamic compensation is physically located on the bond graph model and an approach to synthesize a model statically decouplable is suggested in order to define an adequate structure to the control requirements.

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“…1. The dynamics of the ball-on-sphere system are nonlinear and complex and its parameters are interdependent in various directions; they have been considered to be two independent ball and wheel systems around the equilibrium point [6] Parameter identification is among the most difficult steps in model design phase, which is the most cause of model errors [1]. The dynamics of ball-on-sphere system have been modeled using Euler-Lagrange modeling techniques.…”

Section: Introductionmentioning

confidence: 99%

Effect of Friction on Ball-On-Sphere System Modelled by Bond Graph

Yesufu¹,

Usman²

2017

IJMECS

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Abstract-This paper presents the model analysis of ballon-sphere system by considering the effect of friction. The ball-on-sphere system is modelled using bond graph technique. In the bond graph modelling procedures of the system, the various subsystems, storage elements, junction structures, transformer elements, dissipating element with appropriate causality assignments and energy exchange that make up the ball-on-sphere system were identified and modelled. In the model analysis of the ball-on-sphere system, the developed model with effect of friction had time of angular position response of the ball (  ) achieved at 0.5253s while in the system model without effect of friction, time of 0.5408s was achieved for the angular position response of the ball (  ). This shows 2.9% improvement of the angular position response of the ball considering frictional effect in the developed bond graph model of the system.

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Bond graph aided design of controlled systems

Cited by 91 publications

References 11 publications

Single fault isolation of a Hydrostatic Transmission System: Simulation and Experimentation

Single fault isolation of a Hydrostatic Transmission System: Simulation and Experimentation

On The Role Of Essential Orders On Feedback Decoupling And Model Inversion: Bond Graph Approach

Effect of Friction on Ball-On-Sphere System Modelled by Bond Graph

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