Simulation of causally dynamic hybrid bond graphs, with application to a power converter

Margetts, Rebecca, Boudon, Benjamin and Ngwompo, Roger F. (2017) Simulation of causally dynamic hybrid bond graphs, with application to a power converter. In: Modelling, Identification and Control (MIC 2017), 20-21 February 2017, Inssbruck, Austria.

BuckConv_HBG_MIC_Simulation_Paper_MargettsEtAl_fINAL2.pdf - Whole Document

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Causally dynamic hybrid bond graphs are generally considered unsuitable for simulation, and causality is therefore often constrained in hybrid bond graph models. This paper demonstrates how a causally dynamic model can be simulated, using a buck converter as a case study. A causally dynamic hybrid bond graph (utilizing controlled junctions) is used to derive a mixed-Boolean state equation. This state equation is transferred toMATLABR , where a simple routine assigns values to the Boolean parameters and then solves the model. Where storage elements are in dynamic causality, the model takes descriptor state form and an implicit solver is used. Solver choice and event detection are discussed. MATLABR was selected as an accessible environment which allows this type of model to be coded and solved, but the technique could be used in an environment of the practitioners choice. The power converter is successfully modeled with a fast simulation time, demonstrating that simulating causally dynamic hybrid bond graphs is possible and merits further refinement.

Keywords:bond graph, Hybrid Model, Switched model, System Dynamics, Power converter
Subjects:H Engineering > H730 Mechatronics
Divisions:College of Science > School of Engineering
ID Code:27583
Deposited On:26 May 2017 11:08

Repository Staff Only: item control page