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

Subramanian Subramanian

doi:10.3844/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.

Highlights

In the recent past, many authors have devoted themselves to the design optimization of electrical machines
This study presents a formulation and solution technique using Genetic Algorithm (GA) for the optimization of GD2 value of 30W AC 3 PHASE 415V, 50 Hz, squirrel cage induction motor rotor for S4-100% duty cycle operation and compares with proto model test results to validate the design optimization
The algorithm with different combinations of GA operators was performed and found that with the below mentioned parameters best results were achieved in the search region provided in Table 2 which was found more suitable for this application

Summary

Introduction

Many authors have devoted themselves to the design optimization of electrical machines. The squirrel cage construction captures major share due to its simplicity, robustness and low cost which attracts the industrialists belongs to process control sector. Besides the energy consumption the inertia of the rotating member ie., squirrel cage rotor is a major concern of a designer as it will affect the control and instrumentation process. Many optimization problem techniques are discontinuities in search space and when conventional Non-Linear Programming (NLP) techniques are used, they would be computationally very expensive and time consuming. One such application uses such techniques is design of induction motors

Objectives

Results

Discussion

Conclusion