Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives

dc.contributor.authorToufik, Roubache
dc.date.accessioned2019-07-10T13:42:06Z
dc.date.available2019-07-10T13:42:06Z
dc.date.issued2018-06
dc.description.abstractIn this paper, a robust active fault tolerant control (AFTC) scheme is proposed for induction motor drives (IMD) via input-output linearization control (IOLC) and nonlinear observer. In order to estimate the states and to reconstruct the faults, two different observers are used; a Luenberger observer (LO) and an extended kalman filter (EKF). Further we introduce feedback linearization strategy by choosing the output function as the rotor speed and flux square. To provide a direct comparison between these FTCs schemes, the performance is evaluated using the control of IMD under failures, variable speed, and variable parameters, finally the obtained results show that the proposed controller with the proposed observers provides a good trajectory tracking, and these schemes are robust with respect to faults, parameter variations, and external load disturbances for induction motor drive system.en_US
dc.identifier.urihttp://dspace.univ-msila.dz:8080//xmlui/handle/123456789/14913
dc.language.isoenen_US
dc.publisherUniversité de M'silaen_US
dc.subjectactive fault tolerant control (AFTC), input-output linearization controls (IOLC), induction motor drives (IMD), luenberger observer (LO), extended kalman filter (EKF), electric vehicle (EV)en_US
dc.titleComparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drivesen_US
dc.typeArticleen_US

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