Abstract : Vast application of Switched Reluctance Motor (SRM) in industrial sector and hybrid electric vehicle (HEV) sectors needs research attention to improve its performance, accurate rotor position estimation is one of the important feature in switched reluctance motor which leads to high performance operation, the position of the rotor usually sensed by rotor position sensor earlier, but it posses many problems such as additional cost, alignment problems, size etc, development of sensorless control implementation overcomes these problems, In this paper, artificial bits of intelligence such as Fuzzy and ANFIS techniques is implemented in the proposed sensorless control techniques, SRM control parameters for a given torque, command/rotor speed and bus voltage are analyzed and consider as inputs for the controllers, the effectiveness of the developed techniques is verified through simulation and finally a comparison is presented between without and with sensor in conjunction with the two proposed soft computing approach.