An adaptive neuro-fuzzy inference system for speed control of three-phase induction motor

Abstract EN

Conve ntional Proportional Integral (PI) controller of A.C drives are widely use d in industry and many other applications, because of its simplicity , but it does not give high degree of speed control of induction motor.

There are many ty pes of controlle r: Proportional (P), Proportional Integral (PI), Proportional Integral Derivative (PID), and Inte lligent controllers.

The intelligent controller be comes a powerful tool for control nonlinear sy stem in present time.

This paper propose s the Adaptive Neuro-Fuzzy Inference Sy stem as an intelligent controller of the induction motor.

In addition, the PI controller is presented in this paper as a conventional controlle r.

The mathematical representation and simulation of the 3-phase induction motor is represented too.

Also, a 3-phase voltage-fed Sinusoidal Pulse Width Modulation (SPWM) inverter is demonstrated and simulated.

The overall sy stem for both PI and ANFIS controllers are simulate d using MATLAB/SIMULINK program.

The comparison of simulation results between the conventional PI and the propose d ANFIS pe rformances shows that: the ANFIS controller gives supe rior performance than the c onventional PI controller for wide range of speed variation.