DocumentCode :
2819059
Title :
Multi-Objective Design Optimisation of Submarine Electric Drive Systems
Author :
Skinner, Benjamin A. ; Palmer, Patrick R. ; Parks, Geoffrey T.
Author_Institution :
Cambridge Univ., Cambridge
fYear :
2007
fDate :
21-23 May 2007
Firstpage :
65
Lastpage :
71
Abstract :
The design of an integrated electric propulsion (IEP) system is considered for naval submarine propulsion. A multi-objective genetic algorithm is used to explore potential IEP topologies and designs, including direct-drive, geared-drive and hybrid steam-turbine/electric drive. Typical submarine mission scenarios are simulated and trade-offs in performance are investigated. Compromises in propeller and electric motor efficiency are found, as are large discrepancies in electric motor technology and the technology required for the realisation of direct-electrical propulsion. Multiple electric motors and a hybrid drive approach are found to reduce this discrepancy to an extent that IEP becomes a feasible propulsion option.
Keywords :
electric propulsion; genetic algorithms; motor drives; propellers; steam turbines; underwater vehicles; electric motor; hybrid steam-turbine; integrated electric propulsion system; multiobjective design optimisation; multiobjective genetic algorithm; naval submarine propulsion; propellers; propulsion option; submarine electric drive systems; Algorithm design and analysis; Design optimization; Drives; Electric motors; Genetic algorithms; Marine technology; Propellers; Propulsion; Topology; Underwater vehicles; Energy efficiency; Hybrid drive; Integrated electric propulsion (IEP); Multi-objective genetic algorithms (MOGA); Underwater vehicle propulsion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Ship Technologies Symposium, 2007. ESTS '07. IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0947-0
Electronic_ISBN :
1-4244-0947-0
Type :
conf
DOI :
10.1109/ESTS.2007.372065
Filename :
4233801
Link To Document :
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