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Estimation of rotor resistance rapidly and accurately has received a lot of attention due to its significance in improving the performance of Induction Motor (IM). This paper deals with the diagnostic of broken bars in induction motors. The hypothesis on which detection is based is that the apparent rotor resistance of an induction motor will increase when a rotor bar breaks. To detect rotor fault we propose an Extended Kalman Filter approach for rotor resistance estimation. In particular, rotor resistance is estimated and compared with its nominal value to detect broken bars.

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In this paper, we introduce the development methodology of a reliable centralized control applied to a synchronous permanent magnet machine. The proposed system is nonlinear, we linearize around a point of application. The resulting model will then be used to reproduce the dynamic behavior of the machine for a reliable control. The controller is based on the standard h infinite to increase performance, reduce measurement noise, and to tolerate the outage of certain sensors. To illustrate the results, we made a comparison between a standard state feedback control and reliable h infinite robust control. The simulation results shows, that the system in case of technical placements poles loses classic performance in the presence of an outage, that the reliable centralized robust control remain satisfactory performance even in the presence of outage.