Efficiency optimization of induction motor drive using fuzzy logic and genetic algorithms

In this paper efficiency optimization approaches based on fuzzy logic and genetic algorithms (GAs) are proposed. An improvement of efficiency is obtained by adjusting the magnetizing current component with respect to the torque current component to give the minimum total copper and iron losses. Some simulation results are given and compared with those obtained by using fuzzy logic and classical vector control (FOC). They show that the efficiency of induction motor (IM) can be improved under the different operation conditions especially in light load region.