Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

Jochen A&beta;falg; Frank Allg&ouml;wer

doi:10.1007/s11633-007-0141-1

Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

doi: 10.1007/s11633-007-0141-1

Jochen Aβfalg¹,
Frank Allgöwer²

1.
Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany;
2.
University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany

Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

Jochen Aβfalg¹,
Frank Allgöwer²

1.
Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany;
2.
University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany

摘要: This paper presents an internal model approach for modeling and diagnostic functionality design for nonlinear systems operating subject to single- and multiple-faults. We therefore provide the framework of structured augmented state models. Fault characteristics are considered to be generated by dynamical exosystems that are switched via equality constraints to overcome the augmented state observability limiting the number of diagnosable faults. Based on the proposed model, the fault diagnosis problem is specified as an optimal hybrid augmented state estimation problem. Sub-optimal solutions are motivated and exemplified for the fault diagnosis of the well-known three-tank benchmark. As the considered class of fault diagnosis problems is large, the suggested approach is not only of theoretical interest but also of high practical relevance.
- Fault diagnosis /
- nonlinear systems /
- hybrid estimation
Abstract: This paper presents an internal model approach for modeling and diagnostic functionality design for nonlinear systems operating subject to single- and multiple-faults. We therefore provide the framework of structured augmented state models. Fault characteristics are considered to be generated by dynamical exosystems that are switched via equality constraints to overcome the augmented state observability limiting the number of diagnosable faults. Based on the proposed model, the fault diagnosis problem is specified as an optimal hybrid augmented state estimation problem. Sub-optimal solutions are motivated and exemplified for the fault diagnosis of the well-known three-tank benchmark. As the considered class of fault diagnosis problems is large, the suggested approach is not only of theoretical interest but also of high practical relevance.
- Fault diagnosis /
- nonlinear systems /
- hybrid estimation

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Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

doi: 10.1007/s11633-007-0141-1

Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

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Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

doi: 10.1007/s11633-007-0141-1

1. Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany;

2. University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany

English Abstract

Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

1. Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany;

2. University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany

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Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

doi: 10.1007/s11633-007-0141-1

Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

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Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

doi: 10.1007/s11633-007-0141-1

1. Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany; 2. University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany

English Abstract

Fault Diagnosis of Nonlinear Systems Using Structured Augmented State Models

1. Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany; 2. University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany

全文HTML

目录

1. Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany;

2. University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany

1. Robert Bosch GmbH, Corporate Sector Research, 70442 Stuttgart, Germany;

2. University of Stuttgart, Institute for Systems Theory and Automatic Control, 70550 Stuttgart, Germany