@article {10.3844/jcssp.2010.107.111,
article_type = {journal},
title = {An Optimization of Design for S4-Duty Induction Motor Using Constraints Normalization Based Violation Technique},
author = {Subramanian, R. and Sivanandam, S. N. and Vimalarani, C.},
volume = {6},
number = {2},
year = {2010},
month = {Feb},
pages = {107-111},
doi = {10.3844/jcssp.2010.107.111},
url = {https://thescipub.com/abstract/jcssp.2010.107.111},
abstract = {Problem statement: Design of Induction motors is an engineering art and needs an extensive experience for obtaining an optimal design solution for a given design problem. An optimized GD2 value for the development of S4 Duty, cage induction motor to meet the specifications of a particular designated application (the location of application is kept as trade secret due to IP barrier) is proposed and validated by a physical model. Approach: The Genetic Algorithm (GA) is used to optimize inertia of rotating member as a single objective function for the designated application. A formulation based on the violations of normalized constraints is used here to transform the problem as unconstrained one. Results: The design variables for the developed model for the rating of 30 W for S4 duty operation were examined with the GA operators such as Initial population-15; two point crossover probability-0.8; mutation-0.05; number of generations-50; fitness scaling-rank; selection-Roulette wheel; Conclusion: The GD2 value obtained using the GA-constraints normalization technique and from the proto model developed are 26.24 and 33.04 respectively as against the specified value 40.75 kg-cm2. },
journal = {Journal of Computer Science},
publisher = {Science Publications}
}