Optimum design of double sided linear switched reluctance motor with taguchi method

Siadatan, Alireza; karami, Mahsa

doi:10.1109/isie.2019.8781241

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…At the first step in Taguchi method, the parameters are selected, and their levels are estimated. After that, the DOE is performed, and at the last step, the optimization results are reviewed [19].…”

Section: B Design Of Experiments With Taguchi Methodsmentioning

confidence: 99%

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Optimized Design of Rotor Barriers in PM-Assisted Synchronous Reluctance Machines With Taguchi Method

et al. 2022

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In recent years, PM-assisted synchronous reluctance machines simplicity, robustness, efficiency, and temperature capacity (SynRMs) make them a viable alternative in various applications. The poor power factor (PF) and high torque ripple are the main challenges of SynRMs, which necessitate robust optimization improving the mentioned demerits. However, the optimization algorithms usually rely on complex analytical models; in this paper, in order to optimize, the design of experiments with the Taguchi method has been used. Taguchi is a simple and effective optimization method and requires a small number of experiments and experience. Also, to select the best combination in multi-objective optimization, the TOPSIS method has been utilized to prioritize the optimal solutions. The proposed method is evaluated by finite element analysis (FEA).INDEX TERMS Permanent magnet (PM)-assisted synchronous reluctance machine (SynRM), multiobjective optimization, Taguchi method, finite element analysis (FEA), torque ripple.

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Section: B Design Of Experiments With Taguchi Methodsmentioning

confidence: 99%

“…The orthogonal arrays are shown in Table 3. An orthogonal array is a matrix provided with the Taguchi method whose columns represent the design variables, and its rows indicate the level of factors in each experiment [19]. The results of various experiments are shown in Table 4.…”

Section: B Design Of Experiments With Taguchi Methodsmentioning

confidence: 99%