Design Optimization of Three Phase Squirrel Cage Induction Motor Using Evolutionary Algorithm

The mathematical design of motor consist of nonlinear expressions, several constraints such as core saturation, thermal limits, etc., makes the manual design of motor more complex and obtaining better design is not possible with conventional design methods. To overcome this difficulty evolution algorithm based computer simulations can be used to get better performance motors. This paper discusses the application of Gravitational Search Algorithm (GSA) and Real- Coded Genetic algorithm (RGA) for optimal design of three- phase squirrel cage induction motor. The motor design is optimized using efficiency and material cost as the fitness function. The optimally designed induction machine is compared with the design developed using modified differential evolution based induction motor design and found GSA based motor design provides a better design with maximum efficiency and minimum losses. Computer simulations were carried out using MATLAB 2017a.