%0 Journal Article
	%A A. T. Boum and  L. Bitjoka and  N. N. LĂ©andre and  S. Bennet
	%D 2018
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 133, 2018
	%T States Estimation and Fault Detection of a Doubly Fed Induction Machine by Moving Horizon Estimation
	%U https://publications.waset.org/pdf/10008994
	%V 133
	%X 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. 

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