Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2017 |
Subtitle of host publication | Volume 848 |
Publisher | ACTA Press |
Pages | 21-27 |
Number of pages | 7 |
ISBN (Electronic) | 9780889869882 |
DOIs | |
Publication status | Published - 2017 |
Event | 2017 IASTED International Conference on Modelling, Identification and Control, MIC 2017 - Innsbruck, Austria Duration: 20 Feb 2017 → 21 Feb 2017 |
Conference
Conference | 2017 IASTED International Conference on Modelling, Identification and Control, MIC 2017 |
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Country/Territory | Austria |
City | Innsbruck |
Period | 20/02/17 → 21/02/17 |
Keywords
- Bond Graph
- Hybrid Model
- Power Converter
- Switched Model
- System Dynamics
ASJC Scopus subject areas
- Software
- Modelling and Simulation
- Computer Science Applications