Title :
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
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;
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2010
Conference_Location :
Urbana-Champaign, IL
Print_ISBN :
978-1-4244-5902-5
DOI :
10.1109/PECI.2010.5437158
