Paper title: PROPORTIONAL INTEGRATOR-NEUROFUZZY OBSERVER OF INDUCTION MOTOR
Author(s): TAREK BENMILOUD,
Abstract: In this paper, a new PI observer of flux of induction motor is proposed. In the conventional PI observer, the PI correctors make
the correction of estimation errors of stator currents of induction motor. In the proposed PI observer, we replace the two PI
correctors of the structure of the PI observer by two adaptive neuro-fuzzy correctors. The aim is to enhance the robustness of
correction of estimation errors of stator currents, which will increase the robustness of PI flux observer of induction motor.
Results of simulation show that the new neuro-fuzzy-PI observer has more robustness of estimation, with best rapidity of
convergence than a conventional PI observer.
Keywords: Direct field oriented control (DFOC) of induction motor, Proportional integral (PI) observer, Neuro-fuzzy system Year: 2016 | Tome: 61 | Issue: 3 | Pp.: 233-238
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