Real Time Implementation of Fuzzy Adaption Mechanism for MRAS Sensorless Indirect Vector Control of Induction Motor

摘要

This paper describes a real time implementation of sensorless control of Induction motor using MRAS observer with fuzzy logic adaptation mechanism under indirect field oriented control (IFOC). This mechanism is used to drive a signal tuning into zero in order to ensure high estimation stability and better tracking of the real speed in comparison with the classical PI mechanism under several test of speed control. In order to improve the sensorless drive, several strategies of speed control are presented and tested such as Classical Proportional Integral (PI), PI Limited and PI anti-windup with its various forms including the fuzzy anti-windup form. The results presented in this work regarding this sensorless approach has been performed by simulation using MATLAB/SIMULINK® software and experimentally using a dSPACE 1104 board. The results obtained in both open loop speed control and sensorless control in high and low speed establish the superiority of the fuzzy adaptation mechanism in both steady state and transient response.