Performance Improvement of Sensorless Vector Control for Induction Motor Drives using Fuzzy-Logic Luenberger Observer: Experimental Investigation

In recent years, the industrial dire need of sensorless techniques, make them more popular and universal, for high-performance sensorless vector control of induction motor drive, this paper investigates the application of fuzzy logic controller in the adaptive mechanism of Luenberger state observer, in order to ameliorate the estimation of rotor speed. The fuzzy logic adaptive mechanism performances are compared to those based on the PI controller. The obtained estimation results by PI and fuzzy adaptive mechanisms through hardware implementation with dSpace 1104 are recorded and compared under a variety of operating conditions. The experimental results show that the performances of the fuzzy sensorless indirect rotor field oriented controlled induction motor in terms of response, relative error, overshoot and torque ripples are very promising.