Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDES

Jia Cai; Hasan Ferdowsi; Jagannathan Sarangapani

doi:10.1109/CCA.2015.7320739

Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDES

Jia Cai
, Hasan Ferdowsi
, Jagannathan Sarangapani

Electrical and Computer Engineering

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

Abstract

A model-based fault detection and accommodation scheme is introduced for a class of distributed parameter systems (DPS) described by coupled partial differential equations (PDEs). Actuator faults at the boundary condition are considered. A detection observer is proposed based on the linear PDE representation of the DPS by assuming that the state information is available. Upon detecting a fault, an adaptive term is added to the observer to estimate the fault parameter vector which is utilized for fault accommodation by reconfiguring the control input. An update law is proposed to estimate the unknown fault parameter vector. An explicit formula is proposed to estimate the time-to-accommodation (TTA) by using the parameter vector. Finally, an example to demonstrate the effectiveness of the proposed scheme is included.

Original language	American English
Journal	Proceedings of the 2015 IEEE Conference on Control and Applications (2015, Sydney, Australia)
DOIs	https://doi.org/10.1109/CCA.2015.7320739
State	Published - Sep 1 2015

Keywords

Accommodation
Actuator fault accommodation
Actuators
Boundary conditions
Coupled partial differential equations
Distributed parameter systems
Fault accommodation
Fault detection
Fault parameter vectors
Model-based fault detection
Partial differential equations
State information

Disciplines

Electrical and Computer Engineering

Access to Document

10.1109/CCA.2015.7320739License: Unspecified

https://doi.org/10.1109/CCA.2015.7320739

Cite this

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title = "Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDES",

abstract = " A model-based fault detection and accommodation scheme is introduced for a class of distributed parameter systems (DPS) described by coupled partial differential equations (PDEs). Actuator faults at the boundary condition are considered. A detection observer is proposed based on the linear PDE representation of the DPS by assuming that the state information is available. Upon detecting a fault, an adaptive term is added to the observer to estimate the fault parameter vector which is utilized for fault accommodation by reconfiguring the control input. An update law is proposed to estimate the unknown fault parameter vector. An explicit formula is proposed to estimate the time-to-accommodation (TTA) by using the parameter vector. Finally, an example to demonstrate the effectiveness of the proposed scheme is included.",

keywords = "Accommodation, Actuator fault accommodation, Actuators, Boundary conditions, Coupled partial differential equations, Distributed parameter systems, Fault accommodation, Fault detection, Fault parameter vectors, Model-based fault detection, Partial differential equations, State information",

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year = "2015",

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doi = "10.1109/CCA.2015.7320739",

language = "American English",

journal = "Proceedings of the 2015 IEEE Conference on Control and Applications (2015, Sydney, Australia)",

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T1 - Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDES

AU - Cai, Jia

AU - Ferdowsi, Hasan

AU - Sarangapani, Jagannathan

PY - 2015/9/1

Y1 - 2015/9/1

N2 - A model-based fault detection and accommodation scheme is introduced for a class of distributed parameter systems (DPS) described by coupled partial differential equations (PDEs). Actuator faults at the boundary condition are considered. A detection observer is proposed based on the linear PDE representation of the DPS by assuming that the state information is available. Upon detecting a fault, an adaptive term is added to the observer to estimate the fault parameter vector which is utilized for fault accommodation by reconfiguring the control input. An update law is proposed to estimate the unknown fault parameter vector. An explicit formula is proposed to estimate the time-to-accommodation (TTA) by using the parameter vector. Finally, an example to demonstrate the effectiveness of the proposed scheme is included.

AB - A model-based fault detection and accommodation scheme is introduced for a class of distributed parameter systems (DPS) described by coupled partial differential equations (PDEs). Actuator faults at the boundary condition are considered. A detection observer is proposed based on the linear PDE representation of the DPS by assuming that the state information is available. Upon detecting a fault, an adaptive term is added to the observer to estimate the fault parameter vector which is utilized for fault accommodation by reconfiguring the control input. An update law is proposed to estimate the unknown fault parameter vector. An explicit formula is proposed to estimate the time-to-accommodation (TTA) by using the parameter vector. Finally, an example to demonstrate the effectiveness of the proposed scheme is included.

KW - Accommodation

KW - Actuator fault accommodation

KW - Actuators

KW - Boundary conditions

KW - Coupled partial differential equations

KW - Distributed parameter systems

KW - Fault accommodation

KW - Fault detection

KW - Fault parameter vectors

KW - Model-based fault detection

KW - Partial differential equations

KW - State information

UR - https://scholarsmine.mst.edu/ele_comeng_facwork/3925

UR - https://doi.org/10.1109/CCA.2015.7320739

U2 - 10.1109/CCA.2015.7320739

DO - 10.1109/CCA.2015.7320739

M3 - Article

JO - Proceedings of the 2015 IEEE Conference on Control and Applications (2015, Sydney, Australia)

JF - Proceedings of the 2015 IEEE Conference on Control and Applications (2015, Sydney, Australia)

ER -

Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDES

Abstract

Keywords

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