Structural Analysis of Multi-Domain Dynamic Systems Modeled Via Bond Graphs

Author

Arnold A. Fernandes
Jonathan W. Kimball, Missouri University of Science and TechnologyFollow

Abstract

Structural Observability (SO) and Structural Monitorability (SM) are structural properties utilized to determine the state and fault-free operation of components, respectively, in a bond graph (BG) model. BGs enable qualitative system analysis, evaluating whether existing sets of sensors and actuators ensure Structural Observability (SO) and Structural Controllability (SC) without knowledge of parametric values. Furthermore, the analysis determines whether there are sufficient sensors available to identify component faults accurately. This work provides a framework for automated sensor placement in a multi-domain physical system while analyzing the SO and SM properties. The MATLAB Structural Analysis Toolbox (MATSAT) conducts sensor placement in a combinatorial manner. It provides SO information alongside a Fault Signature Matrix (FSM) and additional metrics to support the selection of sensor sets by system designers. This toolbox eliminates the need for heuristics in BG-based sensor placement. The functionality of the various MATSAT modules is described in detail. The toolbox is validated for a three-tank system and a charge amplifier system. Structural analysis is performed on standard systems SO, SM, and structural isolability (SI) metrics are computed. Furthermore, MATSAT provides information on redundant sensors and their frequency, which are important factors affecting system cost and security.

Recommended Citation

A. A. Fernandes and J. W. Kimball, "Structural Analysis of Multi-Domain Dynamic Systems Modeled Via Bond Graphs," IEEE Access, Institute of Electrical and Electronics Engineers, Jan 2025.

The definitive version is available at https://doi.org/10.1109/ACCESS.2025.3638672

Department(s)

Electrical and Computer Engineering

Publication Status

Open Access

Comments

National Science Foundation, Grant 1837472

Keywords and Phrases

Fault detection; fault isolation; qualitative analysis; sensor placement; sensors

International Standard Serial Number (ISSN)

2169-3536

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2025 The Authors, All rights reserved.

Creative Commons Licensing

This work is licensed under a Creative Commons Attribution 4.0 License.

Publication Date

01 Jan 2025