Title | ||
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Electromagnetic design optimization and sensitivity analysis for IPM synchronous motors |
Abstract | ||
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This paper presents the electromagnetic design optimization for a 12-slot, 8-pole, concentrated winding, V-shaped magnet Interior Permanent Magnet Synchronous Motor (IPMSM) using a Genetic Algorithm (GA). Three distinct objective functions are considered. These include minimum weight, minimum loss, and a combined multi-objective function to minimize both the weight and the losses. The three optimized machines are compared with a non-optimized preliminary design using 2D-Finite Element Analysis (FEA). The multi-objective optimal design shows major efficiency improvements (1.25%) and weight reduction (0.918 kg) compared to the preliminary design. Sensitivity analysis is conducted on this optimized machine, which evaluates its weight and efficiency variations as a function of deviations in the optimized variables. |
Year | DOI | Venue |
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2017 | 10.1109/ICIT.2017.7913098 | 2017 IEEE International Conference on Industrial Technology (ICIT) |
Keywords | Field | DocType |
Interior Permanent Magnet Synchronous Motors (IPMSMs),Genetic Algorithms,Design Optimization,Sensitivity Analysis | Torque,Synchronous motor,Control theory,Magnet,Control engineering,Finite element method,Optimal design,Electromagnetic coil,Minimum weight,Engineering,Genetic algorithm | Conference |
ISBN | Citations | PageRank |
978-1-5090-5321-6 | 0 | 0.34 |
References | Authors | |
4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
B. D. Guruwatta Vidanalage | 1 | 0 | 0.34 |
Mohammad Sedigh Toulabi | 2 | 0 | 0.34 |
Shaahin Filizadeh | 3 | 38 | 6.04 |