Multi-objective design optimization using dual-level response surface methodology and booth's algorithm for permanent magnet synchronous generators
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This paper studies a dual-level response surface methodology (DRSM) coupled with Booth's algorithm using a simulated annealing (BA-SA) method as a multi-objective technique for parametric modeling and machine design optimization for the first time. The aim of the research is for power maximization and cost of manufacture minimization resulting in a highly optimized wind generator to improve small power generation performance. The DRSM is employed to determine the best set of design parameters for power maximization in a surface-mounted permanent magnet synchronous generator (SPMSG) with an exterior-rotor topology. Additionally, the BA-SA method is investigated to minimize material cost while keeping the volume constant. DRSM by different design functions including mixed resolution robust design (MR-RD), full factorial design (FFD), central composite design (CCD), and box-behnken design (BBD) are applied to optimize the power performance resulting in very small errors. An analysis of the variance via multi-level RSM plots is used to check the adequacy of fit in the design region and determines the parameter settings to manufacture a high-quality wind generator. The analytical and numerical calculations have been experimentally verified and have successfully validated the theoretical and multi-objective optimization design methods presented.
CitationAsef, P., Bargallo, R., Barzegaran, M., Lapthorn, A., Mewes, D. Multi-objective design optimization using dual-level response surface methodology and booth's algorithm for permanent magnet synchronous generators. "IEEE transactions on energy conversion", 22 Novembre 2017, vol. 99, p. 1-8.
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