Genetic Algorithm based design optimization of a three-phase induction machine with external rotor

More than 80% of three-phase Squirrel Cage Induction Machines are widely used in industrial and domestic applications because of the relative low cost and high reliability. When oversized, most of these machines operate with low efficiency and power factor. The objective of this paper is to develop a design for a three-phase induction machine with external rotor which reaches the IE3 category of the IEC 60034-30 standard. Induction machines with external rotor are widely used as industrial fans with fixed load, improving the efficiency by redesigning the interior of the machine is essential to reach the proposed objective. The optimal design of the induction machine with external rotor is proposed using Genetic Algorithm (GA). This algorithm is a population-based search algorithm characterized as conceptually simple, easy to implement and computationally efficient. A comparison of the optimum design with an existing design for a 0.5 kW motor is presented, demonstrating that the optimal design has higher efficiency in all load range.