Optimizing the deceased induction motor losses using genetic algorithm

Induction Motors are usually designed for the highest efficiency around their rated load. In most applications, the motor rating matches the worst-case load, but the motor frequently runs below rated conditions. As the load decreases the motor efficiency decreases and a larger percentage of the input power is in the form of losses. The motor efficiency can be improved by operating the motor at optimum flux by controlling the d-axis current in d-q reference frame in vector controlled drives. In this paper, Genetic Algorithm (GA) approach in decreasing losses of a 5 h.p induction motor is discussed and investigated. The strategies for decreasing the losses include adjusting magnetic current using electromagnetic torque and motor speed. Several simulations have been conducted to show the motor performance using GA. The results, when Genetic Algorithm is used for the induction motor in different load conditions, show a better performance.