Parameter Estimation of Induction Motors using Hybrid GWO-CS Algorithm

This study investigates a hybrid algorithm between Grey Wolf Optimization (GWO) and Cuckoo Search (CS) algorithms to find the parameters of induction motors. The motor have been estimated by using data supplied manufacturer. problem for parameter estimation is formulated as an optimization problem. Then, solved GWO based on CS parameters. Numerical results show that both are capable solving finding motor. Also, two other such Differential Evolution (DE), Genetic Algorithm (GA), Particle Swarm (PSO), Shuffled Frog-Leaping (SFLA), Modified (MSFLA) compared GWO-CS gives smaller objective value closer torque manufacturer’s than several 1. Hybrid nearly same with 2.