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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

Full text : PDF (443 KB)