Overcoming Sensor Faults in Controlled Induction Motor
| Authors: | Mendoza Antonio, CARTIF, Spain
Arnanz Roberto, CARTIF, Spain
Corrales Alicia, CARTIF, Spain
Ramón Perán Jose, ETSII University of Valladolid, Spain
de Miguel Luis Javier, ETSII University of Valladolid, Spain |
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| Topic: | 6.4 Safeprocess |
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| Session: | Applications of Fault Diagnosis and Fault Tolerant Control |
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| Keywords: | Induction motors, Extended Kalman Filter, Fault diagnosis, Fault isolation,Control oriented models. |
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Abstract
Following CARTIF’s motors Group previous works, this paper proposes anew application for parameter online estimation for induction motor, which is used in amodel-based fault diagnosis. Induction motor is described by non-linear differentialequations and an Extended Kalman Filter (EKF) estimates three parameters (rotorresistance, stator resistance and magnetizing inductance). The diagnosis systemproposed here is a parity equations scheme for sensor faults and multiplicative faultsusing parameter estimation. Reconfiguration of Kalman Filter is used to achieveacceptable control conditions when a sensor fault exits. Experimental results on a Fieldoriented controller (FOC) with 5.5kw motor are presented.
