{"title":"States Estimation and Fault Detection of a Doubly Fed Induction Machine by Moving Horizon Estimation","authors":"A. T. Boum, L. Bitjoka, N. N. L\u00e9andre, S. Bennet","volume":133,"journal":"International Journal of Mechanical and Mechatronics Engineering","pagesStart":65,"pagesEnd":73,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10008994","abstract":"
This paper presents the estimation of the key parameters of a double fed induction machine (DFIM) by the use of the moving horizon estimator (MHE) for control and monitoring purpose. A study was conducted on the behavior of this observer in the presence of some faults which can occur during the operation of the machine. In the first case a stator phase has been suppressed. In the second case the rotor resistance has been multiplied by a factor. The results show a good estimation of different parameters such as rotor flux, rotor speed, stator current with a very small estimation error. The robustness of the observer was also tested in the practical case of DFIM by using another model different from the real one at a constant close. The very small estimation error makes the MHE a good software sensor candidate for monitoring purpose for the DFIM.<\/em> <\/p>\r\n","references":"[1]\tA. 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