Neuro-fuzzy Position Online Estimator Applied in a SRM: Speed Range Experimental Results

This work presents the development of a position sensor elimination technique of a switched reluctance machine. Details of the neuro-fuzzy system training and the system operation are presented. A speed range online training confirms the good performance of the presented technique. In this work the proposed model of the position sensor elimination is verified experimentally. Real cases are presented and prove the trustworthiness of the model