Parameter Estimation of Induction Motors Using Water Cycle Optimization

This paper presents the application of recently introduced water cycle algorithm (WCA) to optimize the parameters of exact and approximate induction motor from the nameplate data. Considering that induction motors are widely used in industrial applications، these parameters have a significant effect on the accuracy and efficiency of the motors and، ultimately، the overall system performance. Therefore، it is essential to develop algorithms for the parameter estimation of the induction motor. The fundamental concepts and ideas which underlie the proposed method is inspired from nature and based on the observation of water cycle process and how rivers and streams flow to the sea in the real world. The objective function is defined as the minimization of the real values of the relative error between the measured and estimated torques of the machine in different slip points. The proposed WCA approach has been applied on two different sample motors. Results of the proposed method have been compared with other previously applied Meta heuristic methods on the problem، which show the feasibility and the fast convergence of the proposed approach.