A Genetic-Taguchi Global Design Optimization Strategy for Interior PM Machine

This paper presents a novel step-optimization strategy for interior permanent magnet synchronous machines (IPMSMs) design optimization, namely genetic-Taguchi global optimization (GTGO). The performances of IPMSM are accurately predicted by the magnetic-equivalent-circuit (MEC) model, and the Pareto...

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Bibliographic Details
Main Authors: Dai, Litao, Gao, Jian, Zhang, Wenjuan, Huang, Shoudao
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
design optimization
genetic algorithm (GA)
Genetic algorithms
Integrated circuit modeling
Interior permanent magnet (PM) machine
Optimization
Stator cores
Stator windings
Taguchi method
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Summary:This paper presents a novel step-optimization strategy for interior permanent magnet synchronous machines (IPMSMs) design optimization, namely genetic-Taguchi global optimization (GTGO). The performances of IPMSM are accurately predicted by the magnetic-equivalent-circuit (MEC) model, and the Pareto solution of bi-objective functions of operational losses and material cost are iteratively searched by genetic algorithm (GA) based on the constraint conditions. Next, the Taguchi method further optimizes local variables which are difficult to model by MEC model to minimize torque ripple and total harmonic distortion (THD) of no-load back emf. Final, the validity of proposed GTGO is verified by finite-element analysis (FEA).
ISSN:2642-5513
DOI:10.1109/ICEMS.2019.8921681