dc.creatorCastro,Diego Martínez
dc.creatorMena,Juan
dc.creatorAlzate,Raúl
dc.creatorSabogal,Bernardo
dc.creatorTombé,Jimmy
dc.date2018-12-01
dc.date.accessioned2023-09-25T15:16:35Z
dc.date.available2023-09-25T15:16:35Z
dc.identifierhttp://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&pid=S1390-65422018000400077
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8824005
dc.descriptionAbstract: MPC Controllers are good achieving zero steady state error even if the controlled system is affected by disturbances. But MPC strategy by itself was not intended to endure proper operation under faulty conditions. Fault tolerant control consist of control algorithms, fault detection and compensation strategies. In this work a MPC controller is implemented using dynamic matrix control strategy. Also a model based residual generator is developed to detect fault occurrence. Artificial neural networks combined with band pass filter allows fault quantification to compensate the MPC behavior under faulty operation. The implemented compensation schema improved the controller's recovery time significantly.
dc.formattext/html
dc.languageen
dc.publisherUniversidad UTE
dc.relation10.29019/enfoqueute.v9n4.402
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceEnfoque UTE v.9 n.4 2018
dc.subjectfault tolerant
dc.subjectfault detection
dc.subjectpredictive control
dc.subjectquadratic control
dc.subjectdynamic modeling.
dc.titleFault Tolerant MPC Controller for Electric Heater Control
dc.typeinfo:eu-repo/semantics/article


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