Constitutive and Modulation Structure in Bond Graph Modeling

1988 ◽  
Vol 110 (4) ◽  
pp. 395-402 ◽  
Author(s):  
J. J. Beaman ◽  
R. C. Rosenberg

In this paper, we investigate additional structure that might be put on bond graphs in order that (1) a bond graph has a physical realization and (2) physical realizations have bond graph within an appropriate physical domain. In particular, restrictions are proposed on the allowed form for the constitutive laws for energy storing and dissipative elements and the allowed form for the modulation of coupling elements. This added structure is proposed to ensure the existence of an energy state function, passivity, unique solutions to the model equations, and to preserve the signal nature of modulation.

Author(s):  
Vladimir Ivanovic´ ◽  
Josˇko Deur ◽  
Milan Milutinovic´ ◽  
H. Eric Tseng

The paper presents a dynamic model of a dual clutch lever-based electromechanical actuator. Bond graph modeling technique is used to describe the clutch actuator dynamics. The model is parameterized and thoroughly validated based on the experimental data collected by using a test rig. The model validation results are used for the purpose of analysis of the actuator behavior under typical operating modes.


2013 ◽  
Vol 724-725 ◽  
pp. 1402-1408
Author(s):  
Li He Xi ◽  
Hong Wei Chen ◽  
Xin Zhang

The bond graph method is used to analyse and model dynamics of hybrid electric system based on Ravigneaux Planetary Mechanism. Bond graph models are built in different structural form, general equations of torque and speed are derived, and operating modes achieved in different structural form are in consideration. At the same time, requirements of control system in different operating modes are illustrated and analysed, which help lay the foundations for modeling and simulation of HEV system based on Ravigneaux Planetary Mechanism.


Author(s):  
Françoise Couenne ◽  
Christian Jallut ◽  
Laurent Lefèvre ◽  
Yann Le Gorrec ◽  
Bernhard Maschke

2001 ◽  
Author(s):  
R. C. Rosenberg ◽  
E. D. Goodman ◽  
Kisung Seo

Abstract Mechatronic system design differs from design of single-domain systems, such as electronic circuits, mechanisms, and fluid power systems, in part because of the need to integrate the several distinct domain characteristics in predicting system behavior. The goal of our work is to develop an automated procedure that can explore mechatronic design space in a topologically open-ended manner, yet still find appropriate configurations efficiently enough to be useful. Our approach combines bond graphs for model representation with genetic programming for generating suitable design candidates as a means of exploring the design space. Bond graphs allow us to capture the common energy behavior underlying the several physical domains of mechatronic systems in a uniform notation. Genetic programming is an effective way to generate design candidates in an open-ended, but statistically structured, manner. Our initial goal is to identify the key issues in merging the bond graph modeling tool with genetic programming for searching. The first design problem we chose is that of finding a model that has a specified set of eigenvalues. The problem can be studied using a restricted set of bond graph elements to represent suitable topologies. We present the initial results of our studies and identify key issues in advancing the approach toward becoming an effective and efficient open-ended design tool for mechatronic systems.


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