Improvement in efficiency and power factor of induction motor using enhanced abc and flc with genetic algorithm

Abstract

Induction motors are more significant in industry based applications due to the benefit of simple structure robustness and high reliability More specifically three phase induction motors are the most commonly used electric motors in industry In order to fulfill most of the industrial necessities the 3 phase induction motors are plain rugged low priced easy to sustain and is factory made with characteristics Induction motors work in constant speed from no load to full load Induction motors are more well known in use of household materials commercial and various industrial applications With these various advantages of induction motors a very high place is hold in industrial parts But the much use of induction motors in the industry leads to lack of electric power with lower efficiency The enhancement of efficiency and power factor through a better motor design becomes a major challenge Most of the existing techniques fail to achieve high efficiency and power factor in conventional models Perhaps low efficiency causes more energy consumption as well as low power factor results in more intakes of transmission energy and non optimal use of inverter The efficiency of an induction motor system is a serious function of the motor converter and control system Various scenarios are developed for improving the efficiency and power factor of induction motor The conventional control of an induction motor is complex due to tough nonlinear magnetic saturation impacts and temperature dependence of the motors electrical parameters Additionally the conservative optimization method is inappropriate to deliver a better search effects on deriving optimal solution Therefore an effective combination is required to maintain higher parameter optimization of induction motors newline