Performance comparison of four phase SRM using Many optimising Liaison and Gravitational Search Algorithm

Abstract

Present work discusses control of speed of a four phase switched reluctance motor abbreviated as SRM is done by application of optimization techniques. The techniques used are many optimizing liaison technique abbreviated as MOL and gravitational search algorithm abbreviated as GSA. Comparison in the performance of SRM is made using these two technique in accordance to speed control. The control of the complete system is goverened by two control loops for speed control, current control and a controller for controlling the turn on angle with turn off angle of the 75 KW, 4-phase 8/6 SRM. The problem considered here is to obtain the operating parameter for speed controller, current controller with turn on angle, turn off angle values, are regarded as objective problem formulation for best tracking of speed in order to reducing integral square error for speed. The simulation and analysis is accomplished in MATLAB/SIMULINK ambience. The execution evaluation of MOL and GSA is done by evaluating different statistical parameter. By making the comparison in performance using the two optimization technique it is evident ISE of speed decreased significantly by MOL approach.