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Using Amesim for solving multiphysics problems
Published in Nicolae Vasiliu, Daniela Vasiliu, Constantin Călinoiu, Radu Puhalschi, Simulation of Fluid Power Systems with Simcenter Amesim, 2018
Nicolae Vasiliu, Daniela Vasiliu, Constantin Călinoiu, Radu Puhalschi
Amesim is a simulation environment that, as many others, offers an advanced user interface for building representations of engineering systems. What sets it apart is that it is based on bond graphs. Bond graphs are a manner to represent physical dynamical systems by modeling the energy transfer between components, based on the power conservation laws.
Symbolic Modeling in Control
Published in Derek A. Linkens, CAD for Control Systems, 2020
In the context of this framework, we have adopted bond graphs [2]–[6] to provide the core representation. Some of the reasons for this follow. Bond graphs provide a cross-disciplinary representation and modeling methodology. They have been applied to a range of systems with components in a number of domains, including mechanical, electrical, hydraulic, chemical, and biological.Bond graphs provide a precise and unambiguous modeling representation; many domains (with the notable exception of electrical circuits) do not have such a representation.Bond graphs can be constructed without reference to computational causality. This is in distinction to other representations such as block diagrams, signal flow graphs, and a simulation code such as ACSL.Bond graphs provide a clear diagrammatic picture of system structure. This is in distinction to equation-based approaches.Bond graphs can be constructed without identifying the system states, which may not be unique anyway. The system states may be deduced from the bond graph. This is in distinction to describing systems in state-space form.Bond graphs make a clear distinction between system structure and component behavior.Bond graphs of individual components can be combined directly to form systems. This is in distinction to system transfer functions which cannot be directly combined unless the systems which they represent do not interact.The individual components within the bond graph structure may be linear or nonlinear.
Passivity-based control of linear time-invariant systems modelled by bond graph
Published in International Journal of Control, 2018
Over the last two decades, the design of control systems in the physical domain has been proposed as a means of integrating controllers within the design of systems from various engineering domains. Advantages of such an approach are to preserve physical insight and to exploit the system's architecture for controller synthesis and analysis. The pioneering work of Sharon, Hogan, and Hardt (1991) developed a control system for a robotic manipulator by comparing classical (purely mathematical) and physical based design approaches. They showed that the latter technique provided guidance for the choice and location of actuators leading to a stable overall system. A modelling technique that naturally lends itself to the above physical approach is the bond graph representation, first proposed by Paynter (1961) and developed by Karnopp and Rosenberg (1975) among others. For a tutorial on bond graph, the reader is referred to the works of Dauphin-Tanguy and Scavarda (1995) and Gawthrop (2007). Gawthrop (1995) used bond graphs to propose a generic framework for the design of controllers in the physical domain, where the controller and the system to be controlled were all represented by their bond graph models. This physical model-based control has more recently found a number of applications like the ones of Gawthrop, Wagg, and Nield (2007) and Gawthrop, Bhikkaji, and Moheimani (2010). In particular, in the work of Yeh (2002), the closed-loop system is visualised from the open-loop bond graph model to derive a control law using a recursive backstepping procedure for one- and two-port systems with a specific cascaded structure. The present article does not focus on an specific physical system as in the work of Sharon et al. (1991). It focus on a dynamic feedback rather than on an observer–control design as in the works of Gawthrop (1995) or Gonzalez-A (2016), and it is a closed-loop methodology, while the work of Yeh (2002) is based on an open-loop design.
Dynamic performance of a Skystream wind turbine: A bond graph approach
Published in Cogent Engineering, 2019
Gilberto Gonzalez-A, Noe Barrera-G, Gerardo Ayala, J. Aaron Padilla, David Alvarado-Z
A bond graph model is a graphical representation of a system where the power interactions are described by lines called bonds. These bonds indicate the interactions between power variable pairs called effort e(t) and flow f(t) where the product of effort and flow represents the power which is shown in Figure 8.
Dynamics of a power hacksaw mechanism, contact interaction with the workpiece, and material removal
Published in International Journal of Modelling and Simulation, 2022
Aman Kumar Maini, Anand Vaz, Geneviève Dauphin-Tanguy
Bond graph is a convenient graphical representation for modeling of dynamics of physical systems in multiple energy domains. In addition, simple depiction of causality in the bond graph shows the cause and effect relationship between the flow and effort variables of the power bond connecting two subsystems.