Multi algorithm of loss objective function of a single phase induction motor
International Journal of Development Research
Multi algorithm of loss objective function of a single phase induction motor
Received 25th February, 2017; Received in revised form 19th March, 2017; Accepted 22nd April, 2017; Published online 20th May, 2017
Copyright©2017, Amayo Efosa Brown et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The research methodology involves the mathematical formulations of single objective functions (Losses) and implementing them by using four optimization tools, the objective functions and algorithms are embedding in a Matlab environment where they ( PSO, SA,GA FA) are processed and results are obtained with a graphical user interface. The computed optimisation are analysed in terms of their ability to select a correct optimal solution and computational efficiency in solving the optimization problem.. Under losses as an objective function the performance of the algorithm deceases in the order of 12.5%, 12%, 8.6% and 6.9% as follows, SA,FA,GA and PSO respectively, this means that for the choice of algorithm in terms of losses as an objective function SA is preferred suitable design optimization against conventional methods.
