Experimental Implementation of Sensorless Vector Control for IM Drive Using EKF Observer and Fuzzy Logic Controller

Abstract

This paper presents an implementation of an intelligent control of induction motor (IM) drive. The strategy is based on field-oriented control (FOC) and fuzzy logic approach. The fuzzy logic controller (FLC) will be proposed for rotor speed, direct and quadratic current regulation to cover the drawbacks of the conventional PI controller and to ensure an accurate reference tracking; a robust response against different uncertainties. An Extended Kalman Filter (EKF) is used for rotor speed and flux estimation. This observer can improve the performance of the controlled system by increasing its reliability and decreasing the cost of the speed sensor. The Proposed sensorless strategy will be examined through Hardware implementation with dSpace 1104 board. The experimental results are presented as a comparative study of the control scheme using PI and fuzzy controllers