Abstract
AbstractThe optimization-based speed control schemes are extraordinarily utilized and applied in induction machine drives rather than vector and scalar control for their dependability and long-lasting capability, and low support cost. Considering reaction time and productivity, scalar control plot is second rate compared to present-day vector control plans, however, it requires lesser equipment assets and in this manner diminishing the expense. High performance is achieved in the drive system by decoupling of torque and flux-producing components. In this paper, the induction motor drive has been analyzed by scalar method and vector control methods and compared with a novel optimization technique, i.e., Quasi-Opposition Harmony Search Algorithm. The results obtained for the speed control by vector control technique can be further enhanced by using optimization techniques. It is expected that the results obtained by e Quasi –Opposition Harmony Search Algorithm will be better as compared to scalar and vector control techniques. To reproduce and approve the outcomes MATLAB/Simulink was used. Similar assessment of the Quasi –Opposition Harmony Search Algorithm and its comparison with vector as well as scalar control plans were plotted.KeywordsPlug-in hybrid electric vehicleQuasi—opposition harmony search algorithmSpeed control
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