Empirical models of the performance tradeoffs in induction machines

Author

Vaks, Nir ; Pekarek, Steve ; Sudhoff, Scott

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

2010

fDate

12-13 Feb. 2010

Firstpage

51

Lastpage

57

Abstract

The focus of this research is to investigate the tradeoffs between mass, efficiency, and cost of commercially available induction machines (IMs). To support this effort, data from large number of IMs is used to establish Pareto-optimal fronts between efficiency and mass and efficiency and cost. From the Pareto-optimal fronts, relatively straightforward models are formulated for the mass versus efficiency and cost versus efficiency of IMs. Parameters of the models are obtained using a genetic algorithm (GA).

Keywords

Pareto optimisation; asynchronous machines; genetic algorithms; IM; cost versus efficiency; empirical models; genetic algorithm; induction machines; mass versus efficiency; pareto optimisation; performance tradeoffs; Aerospace engineering; Algorithm design and analysis; Costs; Design optimization; Electromagnetic fields; Genetic algorithms; Induction machines; Manufacturing; Space vehicles; Voltage; Cost; Pareto-optimal front; efficiency; induction machines; mass; performance tradeoffs; volume;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Conference at Illinois (PECI), 2010

Conference_Location

Urbana-Champaign, IL

Print_ISBN

978-1-4244-5902-5

Type

conf

DOI

10.1109/PECI.2010.5437158

Filename

5437158