Application of many optimizing liaisons technique for speed control with torque ripple minimization of switched reluctance motor
Abstract
A comparison in the performance of Many Optimizing Liaisons (MOL) and Gravitational Search Algorithm (GSA) techniques are utilised in the present work for speed control with torque ripple minimization of Switched Reluctance Motor (SRM). The control mechanism consists of two control loop (PI controller) and turn on/ turn off angle control of the 75 KW, 4-phase 8/6 SRM. The problem considered here is to obtain the operating parameter of speed controller, current controller and turn on/ turn off angle is regarded as multi objective problem for optimization with the goal of reducing torque ripple and integral square error of speed. The simulation and analysis is executed in MATLAB/SIMULINK environment. The execution evaluation of MOL and GSA is done by evaluating different statistical parameter. It is noticed that the torque ripple coefficient, ISE of speed & current are significantly reduced by MOL approach.
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