Analysis of Nonlinear Speed-Torque Performance of SRM with Fuzzy Based Nonlinear Controller

By the use of linear controller the analysis of performance of SRM is not sufficient because of stator inductance of stator winding of SRM is function of rotor position, so here proposed to be design the nonlinear controller i.e. fuzzy based controller which converge the comparison analysis of SRM based on speed error and its change with respect time domain specification. Neural network and fuzzy logic technique are unique technique in which process the information specify by mathematical equation and compare with linear model of SRM. Arificial Neural Networks technique along with PI and Fuzzy PI has been implemented to design the controller to increase their performance. The comparison results give the more idea about the performance of SRM.