EXPERIENCE WITH DIRECT AND INDIRECT SEARCH METHODS APPLIED TO CAGE INDUCTION MOTOR DESIGN OPTIMIZATION

1 July 1979

journal article
research article
Published by Taylor & Francis in Electric Machines & Power Systems

Vol. 4 (1) , 85-93
https://doi.org/10.1080/07313567908955362

Abstract

In the present paper low cost cage induction motor design problem is approached using direct search methods, which do not require to calculate the derivatives of the function, and indirect method-a penalty function approach. Induction motor design is considered as a nonlinear, multivariable constrained optimisation problem with ampere conductors per meter, ratios stack length to pole pitch and stator slot depth to width, stator core depth, average air-gap flux density, and stator and rotor winding current densities as variables. The constraints are imposed on the thermal ratings of the machine and on performance indices- Results for same capacity motor with different optimization techniques are tabulated and compared.

Keywords

This publication has 3 references indexed in Scilit:

Design optimisation of small 3-phase induction motors
Proceedings of the Institution of Electrical Engineers, 1976
Optimisation program for large-induction-motor design
Proceedings of the Institution of Electrical Engineers, 1975
A New Method of Constrained Optimization and a Comparison With Other Methods
The Computer Journal, 1965