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Dynamic causality in hybrid bond graphs

Version 5 2024-03-12, 14:58
Version 4 2024-02-12, 09:39
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posted on 2024-03-12, 14:58 authored by Rebecca Margetts, Roger F. Ngwompo

Hybrid models are those containing continuous and discontinuous behaviour. In constructing dynamic systems models, it is frequently desirable to abstract rapidly changing, highly nonlinear behaviour to a discontinuity. Bond graphs lend themselves to systems modelling by being multi-disciplinary and reflecting the physics of the system. The causally dynamic hybrid bond graph is therefore suitable for simulation as well as providing engineering insight through analysis. There is a distinction between structural and parametric switching. The controlled junction is used for the former, and gives rise to dynamic causality. A controlled element is developed for the latter. Dynamic causality is unconstrained so as to aid insight. The junction structure matrix (JSM) for the hybrid bond graph features Boolean terms to reflect the controlled junctions in the graph structure. This hybrid JSM is used to generate a mixed-Boolean state equation. When storage elements are in dynamic causality, the resulting system equation is implicit. Control properties can be seen in the structure and causal assignment. An impulsive mode may occur when storage elements are in dynamic causality, but otherwise there are no energy losses associated with commutation because this method dictates the way discontinuities are abstracted. An impulsive model can be derived if required to further aid simulation. The mixed-Boolean mathematical model can be implemented in an environment such as Matlab.

History

School affiliated with

  • School of Engineering (Research Outputs)

Publication Title

Bond Graphs for Modelling, Control and Fault Diagnosis of Engineering Systems

Pages/Article Number

87-133

Publisher

Springer International Publishing

ISBN

9783319474335

Date Submitted

2017-01-18

Date Accepted

2017-01-03

Date of First Publication

2017-01-03

Date of Final Publication

2017-01-03

Date Document First Uploaded

2017-01-09

ePrints ID

25580