M. BENDJAIMA Bachir

MCB

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Specialized in DEPARTEMENT OF: ELECTRICAL ENGINEERING. Focused on academic and scientific development.

Contact Info

University of M'Sila, Algeria

Email : bachir.bendjaima@univ-msila.dz

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Recent Publications

2017

Faults Stator and Rotor Modeling of Induction Machine using Multi-turns Models for Diagnosis and Control

In this paper, we discuss the diagnosis of stator and rotor defects in induction machines. After describing the various defects that can occur on these, we propose a multi-winding model of the asynchronous machine that simulates stator faults for short-circuiting or phase-out. Then, we present a model based on the coupled electrical circuit’s method. This model makes it possible to study the influence of a bar fault on the general behavior of the asynchronous motor. In addition, we have studied the phenomena created by these defects on the different temporary variables of the machine, then we particularly interested in the development of new identification techniques. The latter are based on the evaluation of stator current spectrum indices calculated from a Fourier transform in the case of a stator or rotor defect. Finally, the results obtained with this approach make it possible to detect the presence of a defect and to locate its origin.
Citation

M. BENDJAIMA Bachir, (2017), "Faults Stator and Rotor Modeling of Induction Machine using Multi-turns Models for Diagnosis and Control", [international] International Journal of Arts & Sciences’(IJAS) International Conference , ROME, ITALY

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Fault Tolerant Control Based on Adaptive Fuzzy Sliding Mode Controller for Induction-Motors

In industry, the service continuity of an electrical system drives requires degrees of reliability of operation
and high safety. Thus, the system requires robust elements to avoid falling into the defects. But the appearance of
defects, it is inevitable. It is therefore necessary to solve this problem by developing a control technique that can
ensure continuity of operation in the presence of faults. Indeed, the sliding mode adaptive control based on fuzzy
logic ensures the stability of the system healthy and able to compensate certain types of defects: the defects of low
severity. In fact, is with the fuzzy sliding controller with varying control gains. This one is based on supervisory
fuzzy inference system using the adaptive tune in order to improve the performance of controller in presence of
current sensors faults. In addition, the sensors are the most sensitive elements and the seat of frequent faults, and
play a leading role in the closed loop control. An operation of a tolerant control the default intended to compensate
the default offset sensor. The developed algorithm is validated by simulation and the obtained results showed the
effectiveness and the robustness of the proposed approach under different scenarios.
Citation

M. BENDJAIMA Bachir, (2017), "Fault Tolerant Control Based on Adaptive Fuzzy Sliding Mode Controller for Induction-Motors", [national] International Journal of Intelligent Engineering and Systems , INASS

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