TY - GEN
T1 - Methods for studying the pareto-fronts in multi-objective design optimization problems of electrical machines
AU - Duan, Yao
AU - Sun, Qin
AU - Ionel, Dan M.
PY - 2013
Y1 - 2013
N2 - The paper describes a generic multi-objective problem for surface mounted permanent magnet rotor synchronous machines operated from current-regulated sine-wave power electronic drives. Three objectives are concurrently considered for the maximum specific torque per mass of PM, the minimum specific losses per mass of winding copper and laminated steel, and the minimum relative torque ripple as a fraction of rated average torque. These formulations, together with the use of a parametric model with eight input variables defined relatively to a ninth independent variable, the air-gap (stator inner) diameter, which is the only one employing absolute dimensions, ensure the generality of the method and of the results in a wide range of rated power from 1kW to 1MW. A Differential Evolution optimization algorithm with 4,800 candidate designs, analyzed through a computational efficient electromagnetic FEA technique, is employed. Procedures for systematically studying the resultant optimal pareto-front are proposed. The reported findings include insights into system correlations and engineering recommendations for selecting optimal values for the design input variables.
AB - The paper describes a generic multi-objective problem for surface mounted permanent magnet rotor synchronous machines operated from current-regulated sine-wave power electronic drives. Three objectives are concurrently considered for the maximum specific torque per mass of PM, the minimum specific losses per mass of winding copper and laminated steel, and the minimum relative torque ripple as a fraction of rated average torque. These formulations, together with the use of a parametric model with eight input variables defined relatively to a ninth independent variable, the air-gap (stator inner) diameter, which is the only one employing absolute dimensions, ensure the generality of the method and of the results in a wide range of rated power from 1kW to 1MW. A Differential Evolution optimization algorithm with 4,800 candidate designs, analyzed through a computational efficient electromagnetic FEA technique, is employed. Procedures for systematically studying the resultant optimal pareto-front are proposed. The reported findings include insights into system correlations and engineering recommendations for selecting optimal values for the design input variables.
KW - Brushless PM motor
KW - design optimization
KW - differential evolution
KW - finite element analysis
KW - optimal pareto-front
KW - sensitivity analysis
KW - synchronous machine
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U2 - 10.1109/ECCE.2013.6647377
DO - 10.1109/ECCE.2013.6647377
M3 - Conference contribution
AN - SCOPUS:84891053362
SN - 9781479903351
T3 - 2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013
SP - 5013
EP - 5018
BT - 2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013
T2 - 5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013
Y2 - 15 September 2013 through 19 September 2013
ER -