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Fault estimation and virtual sensor FTC approach for LPV systems
| dc.contributor.author | Montes de Oca, Saúl |
| dc.contributor.author | Rotondo, Damiano |
| dc.contributor.author | Nejjari Akhi-Elarab, Fatiha |
| dc.contributor.author | Puig Cayuela, Vicenç |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| dc.date.accessioned | 2016-05-31T07:50:49Z |
| dc.date.issued | 2011 |
| dc.identifier.citation | Montes de Oca, S., Rotondo, D., Nejjari, F., Puig, V. Fault estimation and virtual sensor FTC approach for LPV systems. A: IEEE Conference on Decision and Control and European Control Conference. "Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference". Orlando, FL: Institute of Electrical and Electronics Engineers (IEEE), 2011, p. 1-6. |
| dc.identifier.isbn | 978-1-4673-0457-3 |
| dc.identifier.uri | http://hdl.handle.net/2117/87513 |
| dc.description.abstract | In this paper, a Fault Tolerant Control (FTC) strategy using a virtual sensor for Linear Parameter Varying (LPV) systems is proposed. The main idea of this FTC method is to reconfigure the control loop such that the nominal controller could still be used without need of retuning it. The plant with the faulty sensor is modified adding the virtual sensor block that masks the sensor fault. The suggested strategy is an active FTC strategy that reconfigures the virtual sensor on-line taking into account faults and operating point changes. In order to implement the virtual sensor approach, a fault estimation is required. Here, this fault estimation is provided by formulating it as a parameter estimation problem. Then, a block/batch least square approach is used to estimate additive and multiplicative faults. The LPV virtual sensor is designed using polytopic LPV techniques and Linear Matrix Inequalities (LMIs). To assess the performance of the proposed approach a two degree of freedom helicopter simulator is used. |
| dc.format.extent | 6 p. |
| dc.language.iso | eng |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| dc.subject.lcsh | Automatic control |
| dc.subject.lcsh | Mathematical models |
| dc.subject.lcsh | Stability |
| dc.subject.lcsh | Parameter estimation |
| dc.subject.lcsh | Linear systems |
| dc.title | Fault estimation and virtual sensor FTC approach for LPV systems |
| dc.type | Conference report |
| dc.subject.lemac | Control automàtic |
| dc.subject.lemac | Models matemàtics |
| dc.subject.lemac | Estabilitat |
| dc.subject.lemac | Estimació d'un paràmetre |
| dc.subject.lemac | Sistemes lineals |
| dc.contributor.group | Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control |
| dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
| dc.description.peerreviewed | Peer Reviewed |
| dc.rights.access | Restricted access - publisher's policy |
| drac.iddocument | 8987679 |
| dc.description.version | Postprint (published version) |
| dc.date.lift | 10000-01-01 |
| upcommons.citation.author | Montes de Oca, S., Rotondo, D., Nejjari, F., Puig, V. |
| upcommons.citation.contributor | IEEE Conference on Decision and Control and European Control Conference |
| upcommons.citation.pubplace | Orlando, FL |
| upcommons.citation.published | true |
| upcommons.citation.publicationName | Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference |
| upcommons.citation.startingPage | 1 |
| upcommons.citation.endingPage | 6 |
