Using the second-order information for reconfigurability analysis and design in the fault tolerant framework
The control reconfigurability measure defines the capability of a control system to allow recovery of performance when faults occur; therefore, it has been intended to be a tool for designing and synthesizing approaches in the fault tolerant control context. Reconfigurability depends on the controll...
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doaj-193d0688b5b94c4aa76fda6047bd6b552020-11-25T00:57:51ZengTaylor & Francis GroupAutomatika0005-11441848-33802018-01-01591516210.1080/00051144.2018.14982081498208Using the second-order information for reconfigurability analysis and design in the fault tolerant frameworkBrian Manuel González-Contreras0G. L. Osorio-Gordillo1F. R. López-Estrada2G. Valencia-Palomo3C. M. Astorga-Zaragoza4Universidad Autónoma de Tlaxcala (UATx)Tecnológico Nacional de México-Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET)Tecnológico Nacional de México-Instituto Tecnológico de Tuxtla GutiérrezTecnológico Nacional de México-Instituto Tecnológico de HermosilloTecnológico Nacional de México-Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET)The control reconfigurability measure defines the capability of a control system to allow recovery of performance when faults occur; therefore, it has been intended to be a tool for designing and synthesizing approaches in the fault tolerant control context. Reconfigurability depends on the controllability gramian, also known as the second-order information (SOI) in a broad sense. This paper proposes the assignation, by feedback, of the deterministic SOI in order to set the control reconfigurability of a given linear system. The theory concerned with this assignation is reviewed, then constructive theorems are given for finding constant feedback gains that approximate a required control reconfigurability for ease implementation. Also an unification of the reconfigurability measures proposed in the fault tolerance literature is given. Once the SOI is assigned by feedback, it can be computed online by using an identification method, which uses process input/output data. Results from simulation of the three tanks hydraulic benchmark, show that this approach can provide information about the system performance for fault tolerant purposes, thus online control reconfigurability computation and fault accommodation are considered. The approach presented in the paper gives an alternative for supervision taking into account the reconfigurability assigned by design.http://dx.doi.org/10.1080/00051144.2018.1498208Second-order informationfault tolerant controlactuator faultfault accommodationcontrollability gramianobservability gramianfeedback controlidentificationthree tank system |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Brian Manuel González-Contreras G. L. Osorio-Gordillo F. R. López-Estrada G. Valencia-Palomo C. M. Astorga-Zaragoza |
spellingShingle |
Brian Manuel González-Contreras G. L. Osorio-Gordillo F. R. López-Estrada G. Valencia-Palomo C. M. Astorga-Zaragoza Using the second-order information for reconfigurability analysis and design in the fault tolerant framework Automatika Second-order information fault tolerant control actuator fault fault accommodation controllability gramian observability gramian feedback control identification three tank system |
author_facet |
Brian Manuel González-Contreras G. L. Osorio-Gordillo F. R. López-Estrada G. Valencia-Palomo C. M. Astorga-Zaragoza |
author_sort |
Brian Manuel González-Contreras |
title |
Using the second-order information for reconfigurability analysis and design in the fault tolerant framework |
title_short |
Using the second-order information for reconfigurability analysis and design in the fault tolerant framework |
title_full |
Using the second-order information for reconfigurability analysis and design in the fault tolerant framework |
title_fullStr |
Using the second-order information for reconfigurability analysis and design in the fault tolerant framework |
title_full_unstemmed |
Using the second-order information for reconfigurability analysis and design in the fault tolerant framework |
title_sort |
using the second-order information for reconfigurability analysis and design in the fault tolerant framework |
publisher |
Taylor & Francis Group |
series |
Automatika |
issn |
0005-1144 1848-3380 |
publishDate |
2018-01-01 |
description |
The control reconfigurability measure defines the capability of a control system to allow recovery of performance when faults occur; therefore, it has been intended to be a tool for designing and synthesizing approaches in the fault tolerant control context. Reconfigurability depends on the controllability gramian, also known as the second-order information (SOI) in a broad sense. This paper proposes the assignation, by feedback, of the deterministic SOI in order to set the control reconfigurability of a given linear system. The theory concerned with this assignation is reviewed, then constructive theorems are given for finding constant feedback gains that approximate a required control reconfigurability for ease implementation. Also an unification of the reconfigurability measures proposed in the fault tolerance literature is given. Once the SOI is assigned by feedback, it can be computed online by using an identification method, which uses process input/output data. Results from simulation of the three tanks hydraulic benchmark, show that this approach can provide information about the system performance for fault tolerant purposes, thus online control reconfigurability computation and fault accommodation are considered. The approach presented in the paper gives an alternative for supervision taking into account the reconfigurability assigned by design. |
topic |
Second-order information fault tolerant control actuator fault fault accommodation controllability gramian observability gramian feedback control identification three tank system |
url |
http://dx.doi.org/10.1080/00051144.2018.1498208 |
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