An Optimization of Design for S4-Duty Induction Motor Using Constraints Normalization Based Violation Technique

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 GD 2 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 GD 2 value obtained using the GAconstraints normalization technique and from the proto model developed are 26.24 and 33.04 respectively as against the specified value 40.75 kg-cm 2 .

On the Influence of Stator Slot shape on the Energy Conservation Associated with the Submersible Induction Motors

“…GA is ideally suited for unconstrained optimization problems (Subramanian et al, 2010)). As the present problem is a constrained optimization one, it is necessary to transform it into an unconstrained problem to solve it using GA (Sendil and Nagarajan, 2009).…”

“…(Subramanian et al, 2010), two optimization techniques (Powell and boundary search around active constraints methods) have been compared. Two other techniques, simplex and Hooke-Jeeves methods have been compared Application of genetic algorithms for the design optimization of electric machines has been tested in Other aspects in the design of Induction Motor have been introduced in (Mahdi S et al, 2009, Lubis et al, 2009.…”

Genetic Algorithm Based Proportional Integral Controller Design for Induction Motor

“…GA constitutes biologically inspired multiparameter search/optimization algorithms (Subramanian et al, 2010) that have proven to be effective in solving a variety of complex problems where other algorithms have either failed or faced difficulties.…”

Reduction of Over Line Current in Power System from Short Circuit Effect Using Static Synchronous Series Compensator

“…It may cause in power apparatus outage. One of the major problems in power system is the over line current from short circuit effect (Barbuy et al, 2009;Coe and Laosethakul, 2010;Subramanian et al, 2010;Barnes et al, 2009). They have proposed many methods to improve stability of power system such as load shedding, High Voltage Direct Current (HVDC), Flexible AC Transmission System (FACTS), (Matondang and Jambak, 2010;El-Shennawy et al, 2010;Hannan et al, 2009;Magaji and Mutafa, 2009;Wong and Lee, 2009;Metkar and Talbar, 2010;Mustafa and Magaji, 2009).…”