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This paper proposes the development of a new mathematical model dedicated to the diagnostic of the partial Demagnetization Fault (DF) in Permanent Magnet Synchronous Motor (PMSM). To do this, an extension of the Modified Winding Function Approach (MWFA) is proposed to accurately take into account the air gap asymmetry caused by the Demagnetization Fault (DF) in the PMSM inductances calculation. The calculated inductances are then used in the magnetically coupled electrical circuit model to simulate the PMSM behavior in the different operating modes. Finally, a diagnostic method based on the stator current spectral analysis is used to highlight the PMSM stator current spectral content in the various operating modes (with and without Demagnetization Fault).

This article focuses on improving the performance of the autonomous wind energy conversion system based on a Permanent Magnet Synchronous Generator (PMSG). There are several problems related to the control of this system, such as chattering phenomenon, static error and coupling between d-q currents, associated with the use of conventional regulators like the PI controller. To remedy these problems, a comparative study is performed between the Super Twisting Sliding Mode Controller (STSMC) and Adaptive Fuzzy Sliding Mode Controller (AFSMC) that are used to drive the rotor speed to the optimal speed to get the maximum power. The simulation study shows that the proposed STSMC is more effective at different operating conditions.

This paper deals with the modeling and diagnosis of the demagnetization fault in the permanents magnets synchronous motors. To do this, a numerical model based on the finite element method under the Flux 2D software has been developed. This model makes it possible to accurately describe the exact geometry of the PMSM and its physical behavior, taking into account all electromagnetic phenomena. In this model, the demagnetization fault has been introduced by creating a partial fissure on the permanent magnet surface periphery. To highlight the interest of the employed model and the efficiency of the line current spectrum analysis technique; a series of simulations are carried out in the two operating modes: healthy operation mode (without demagnetization fault) and faulty operation mode (with demagnetization fault).

This work deals with the modeling and the diagnosis of Permanent Magnet Synchronous Motor (PMSM) with consideration of all space harmonics. To do this, a mathematical model based on the approach of the winding function has been developed in the case of a constant air gap, then in the other case where the machine may have an eccentricity fault. To highlight the interest of the model employed and the efficiency of the spectral analysis technique of the stator current, a series of simulations are performed in both cases of operation: healthy and in the presence of the eccentricity fault.

Inter-Turn Short Circuit (ITSC) faults in stator winding of Permanent Magnet Synchronous Motors (PMSMs) is one of the major cause of motor failure. This paper deals with the diagnosis of ITSC faults in PMSM tacking into account of all space harmonics. To do this, it's necessary to build a mathematical model of the machine object of the diagnosis. This model must be reliable and able to describe the behavior of the machine in deferent operation modes. Winding Function Approach (WFA) is among the most significant modeling methods because it takes into account the real distribution of the windings in the stator slots. To highlight the interest of the model employed and the efficiency of the spectral analysis technique, a series of simulations are performed in both cases of operation: healthy and in the presence of ITSC faults.

Stator inter-turn short-circuit and Eccentricity faults are among the most common types of faults encountered in permanent magnet synchronous motors. This paper proposes a new method for the diagnosis of these types of faults based on the motor current signature analysis. A mathematical model based on the modified winding function approach has been developed to model the healthy PMSM, considering the effect of the magnetic saturation phenomenon and in the presence of inter-turns short-circuits and eccentricity faults. In order to highlight the interest of the model employed and the efficiency of the spectral analysis technique of the stator current, a series of simulations are performed in the different operation modes (Healthy and faulty operation modes).

Observer-based fault diagnosis and field oriented fault tolerant control of induction motor with stator inter-turn fault This paper describes a fault-tolerant controller (FTC) of induction motor (IM) with inter-turn short circuit in stator phase winding. The fault-tolerant controller is based on the indirect rotor field oriented control (IRFOC) and an observer to estimate the motor states, the amount of turns involved in short circuit and the current in the short circuit. The proposed fault controller switches between the control of the two components of measured stator current in the synchronously rotating reference frame and the control of the two components of estimated current in the case of faulty condition when the estimated current in the short circuit is not destructive of motor winding. This technique is used to eliminate the speed and the rotor flux harmonics and to assure the decoupling between the rotor flux and torque controls. The results of the simulation for controlling the speed and rotor flux of the IM demonstrate the applicability of the proposed FTC.

This paper work addresses the detection of converter open switch faults and the fault tolerant of power converters fed Doubly Fed Induction Generator (DFIG) in Wind Energy Conversion Systems (WECS). The stator flux-oriented vector control algorithm is used to control active and reactive power supplied by the stator windings. The mean value of the rotor current diagnosis technique is adopted for fault detection. The fault tolerant topology used for service continuity is that with a redundant leg. The simulations are performed using the Matlab / Simulink environment and Sim power. The fault operation is analyzed and the detection method and fault-tolerant topology used are tested with encouraging results.