Energy-based mode tracking of hybrid systems for FDI

Shai A. Arogeti; Danwei Wang; Chang Boon Low; Ming Luo

doi:10.1109/TSMCA.2012.2193879

Energy-based mode tracking of hybrid systems for FDI

Shai A. Arogeti, Danwei Wang, Chang Boon Low, Ming Luo

Department of Mechanical Engineering

Ben-Gurion University of the Negev

Research output: Contribution to journal › Article › peer-review

Abstract

Hybrid systems operate in various states, which are represented by a set of modes. In each mode, the system is governed by continuous dynamics, and different modes correspond to different continuous models. For hybrid systems, model-based fault detection and isolation is a challenging task due to the fact that the system's prevailing dynamical model and its current mode (discrete state) are mutually dependent and intertwined. In this paper, a new energy-based approach is introduced for mode tracking of hybrid systems, and its associated systematic analysis is based on a hybrid bond graph. Each system's mode is characterized by a concise energy relation that allows mode identification in the new mode tracking method.

Original language	American English
Pages (from-to)	14-28
Number of pages	15
Journal	IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Volume	43
Issue number	1
DOIs	https://doi.org/10.1109/TSMCA.2012.2193879
State	Published - 1 Jan 2013

Keywords

Fault diagnosis and isolation
Hybrid systems
Model based
Power net (PN)

All Science Journal Classification (ASJC) codes

Software
Control and Systems Engineering
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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AU - Arogeti, Shai A.

AU - Wang, Danwei

AU - Low, Chang Boon

AU - Luo, Ming

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AB - Hybrid systems operate in various states, which are represented by a set of modes. In each mode, the system is governed by continuous dynamics, and different modes correspond to different continuous models. For hybrid systems, model-based fault detection and isolation is a challenging task due to the fact that the system's prevailing dynamical model and its current mode (discrete state) are mutually dependent and intertwined. In this paper, a new energy-based approach is introduced for mode tracking of hybrid systems, and its associated systematic analysis is based on a hybrid bond graph. Each system's mode is characterized by a concise energy relation that allows mode identification in the new mode tracking method.

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Energy-based mode tracking of hybrid systems for FDI

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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