DocumentCode :
3296893
Title :
Failure´s Identification for Electromechanical Systems with Induction Motor
Author :
Yafasov, F.I.
Author_Institution :
Kazan State Tech. Univ., Kazan
fYear :
2005
fDate :
21-27 March 2005
Firstpage :
167
Lastpage :
168
Abstract :
In this paper the new approach for guaranteed state estimation for electromechanical systems with induction motor is implemented for failure´s identification in such systems. Approach is based on matrix comparison systems method, and a comparison with some other estimation methods was realized in package MATLAB. The experimental unit made for practical approbation of identification algorithms is presented with received experimental data. The new approach (matrix comparison systems method) for guaranteed state estimation of an induction motor (IM) and detect faults was presented in [1, 2]. State estimation is based on a discrete-time varying linear model of the IM [3, 4] with uncertainties and perturbations, which belong to known bounded sets with no hypothesis on their distribution inside these sets. The approach uses the measurement results. Recursive and explicit algorithm is presented and illustrated by example with real 1M parameters, realized in program package MATLAB.
Keywords :
discrete time systems; induction motors; state estimation; discrete-time varying linear model; electromechanical systems; failure identification; guaranteed state estimation; induction motor; matrix comparison systems method; Angular velocity; Current measurement; Electrical resistance measurement; Electromechanical systems; Ellipsoids; Induction motors; Phase estimation; Software measurement; State estimation; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modern Technique and Technologies, 2005. MTT 2005. 11th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists
Conference_Location :
Tomsk
Print_ISBN :
978-0-7803-8877-2
Electronic_ISBN :
978-0-7803-8878-9
Type :
conf
DOI :
10.1109/SPCMTT.2005.4493241
Filename :
4493241
Link To Document :
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