Neural Network Speed Sensorless Direct Vector Control of Induction Motor Using Fuzzy Logic in Speed Control Loop

摘要

This paper deals with performance analysis and implementation of a robust sensorless speed controller associated with a new direct rotor flux oriented control (DRFOC) for induction motor (IM) drives. The robustness s is guaranted by the use of a fuzzy logic controller. Due to the drawbacks of speed sensor, an intelligent algorithm is evolved to eliminate it. It is based on neural network theory. Besides, a new DRFOC scheme is investigated. It is based on the rotor flux components regulation. Experimental results for one kw IM are pesented and analyzed using a dSpace system with DS1104 controller board based on digital signal processor (DSP) TMS320F240. Simulation and experimental results are presented to show the validity and usefulness of the proposed algorithms.