@article{(Open Science Index):https://publications.waset.org/pdf/10008994, title = {States Estimation and Fault Detection of a Doubly Fed Induction Machine by Moving Horizon Estimation}, author = {A. T. Boum and L. Bitjoka and N. N. LĂ©andre and S. Bennet}, country = {}, institution = {}, 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. }, journal = {International Journal of Mechanical and Mechatronics Engineering}, volume = {12}, number = {1}, year = {2018}, pages = {65 - 72}, ee = {https://publications.waset.org/pdf/10008994}, url = {https://publications.waset.org/vol/133}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 133, 2018}, }