Abstract
The recently introduced flux switching permanent magnet motor attracts a lot of attention thanks to a robust design, better heat dissipation, high reliability, high performance. The crucial step in developing the PM motor for different applications is the geometry optimization. In this paper, the modified multi-level multi-objective optimization method which combined Taguchi and response surface methodology is introduced. The design of experiment is used for multi-objective sensitivity analysis to separate the design parameters to two groups of less important and more-important design parameters. In the first level of optimization, the less-important design parameters are set at the modified value obtained by Taguchi method. In the second level of optimization, using RSM and non-dominated sorting genetic algorithm-II (NSGA-II), the more-important design parameters optimized. The accuracy of the FEM samples is validated by the prototype of the motor. In addition due to the importance of price in the low-price industrial applications, the used PMs in pump motors do not have much quality in terms of thermal tolerance and the intensity of the tolerable external demagnetization field. Therefore, the study of demagnetization in the low-price industrial application is very important and should be properly investigated. So in this paper, a method to accurate calculation of the demagnetization rate will be introduced.
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References
Ajamloo AM, Ghaheri A, Afjei E (2019) Multi-objective optimization of an outer rotor BLDC motor based on Taguchi method for propulsion applications. In: 2019 10th international power electronics, drive systems and technologies conference, PEDSTC 2019. Institute of Electrical and Electronics Engineers Inc, pp 34–39. https://doi.org/10.1109/pedstc.2019.8697586
Anvari B, Toliyat HA, Fahimi B (2018) Simultaneous optimization of geometry and firing angles for in-wheel switched reluctance motor drive. IEEE Trans Transp Electrif 4(1):322–329. https://doi.org/10.1109/TTE.2017.2766452
Deb K et al (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197. https://doi.org/10.1109/4235.996017
Duchaud J-L et al (2014) Electrical machine optimization using a kriging predictor. In: 2014 17th international conference on electrical machines and systems (ICEMS). IEEE, pp 3476–3481. https://doi.org/10.1109/icems.2014.7014091
Fatemi A et al (2018) Design optimization of a high torque density spoke-type PM motor for a formula e race drive cycle. In: IEEE transactions on industry applications. Institute of Electrical and Electronics Engineers Inc., pp 4343–4354. https://doi.org/10.1109/tia.2018.2844804
Ilka R, Alinejad-Beromi Y, Yaghobi H (2018) Cogging torque reduction of permanent magnet synchronous motor using multi-objective optimization. Math Comput Simul 153:83–95. https://doi.org/10.1016/J.MATCOM.2018.05.018
Lee JH (2012) Optimum shape design solution of flux switching motor using response surface methodology and new type winding. IEEE Trans Magn 48(4):1637–1640. https://doi.org/10.1109/TMAG.2011.2173564
Lei G et al (2015) Techniques for multilevel design optimization of permanent magnet motors. IEEE Trans Energy Convers 30(4):1574–1584. https://doi.org/10.1109/TEC.2015.2444434
Lei G et al (2017) A review of design optimization methods for electrical machines. Energies 10(12):1962. https://doi.org/10.3390/en10121962
Liu C et al (2018) Robust design of a low-cost permanent magnet motor with soft magnetic composite cores considering the manufacturing process and tolerances. Energies 11(8):1–17. https://doi.org/10.3390/en11082025
Mahmouditabar F, Vahedi A, Ojaghlu P (2019) ‘Investigation of demagnetization phenomenon in novel ring winding AFPM motor with modified algorithm. J Magn Magn Mater 491:165539. https://doi.org/10.1016/J.JMMM.2019.165539
Mahmouditabar F, Vahedi A, Ojaghlu P et al (2020) Irreversible demagnetization analysis of RWAFPM motor using modified MEC algorithm. COMPEL https://doi.org/10.1108/compel-01-2020-0021
Mahmouditabar F, Vahedi A, Mosavi MR et al (2020) Sensitivity analysis and multiobjective design optimization of flux switching permanent magnet motor using MLP‐ANN modeling and NSGA‐II algorithm. In: International transactions on electrical energy systems. Wiley, London. https://doi.org/10.1002/2050-7038.12511
Meo S, Zohoori A, Vahedi A (2016) ‘Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach. Energy Convers Manag 110:230–239. https://doi.org/10.1016/J.ENCONMAN.2015.11.062
Mo L, Zhang T, Lu Q (2019) Design and analysis of an outer-rotor-permanent-magnet flux-switching machine for electric vehicle applications. IEEE Trans Appl Superconduct. https://doi.org/10.1109/tasc.2018.2890816
Moghaddam HA, Vahedi A, Ebrahimi SH (2017) Design optimization of transversely laminated synchronous reluctance machine for flywheel energy storage system using response surface methodology. IEEE Trans Ind Electron 64(12):9748–9757. https://doi.org/10.1109/TIE.2017.2716877
Nasr A et al (2017) Design optimization of a hybrid-excited flux-switching machine for aircraft-safe DC power generation using a diode bridge rectifier. IEEE Trans Ind Electron 64(12):9896–9904. https://doi.org/10.1109/TIE.2017.2726974
Nobahari A, Aliahmadi M, Faiz J (2020a) Performance modifications and design aspects of rotating flux switching permanent magnet machines: a review. IET Electr Power Appl 14(1):1–15. https://doi.org/10.1049/iet-epa.2019.0339
Nobahari A, Mosavi MR, Vahedi A (2020b) ‘Optimal shaping of non-conventional permanent magnet geometries for synchronous motors via surrogate modeling and multi-objective optimization approach. Iran J Electr Electron Eng 16(1):114–121. https://doi.org/10.22068/IJEEE.16.1.114
Onsal M et al (2018) Rotor design optimization of a new flux-assisted consequent pole spoke-type permanent magnet torque motor for low-speed applications. IEEE Trans Magn. https://doi.org/10.1109/tmag.2018.2832076
Ortombina L, Tinazzi F, Zigliotto M (2018) Magnetic modeling of synchronous reluctance and internal permanent magnet motors using radial basis function networks. IEEE Trans Ind Electron 65(2):1140–1148. https://doi.org/10.1109/TIE.2017.2733502
Overview for Create Response Surface Design (Central Composite) (no date)
Sorgdrager AJ, Wang RJ, Grobler AJ (2018) Multiobjective design of a line-start PM motor using the Taguchi method. IEEE Trans Ind Appl 54(5):4167–4176. https://doi.org/10.1109/TIA.2018.2834306
Srinivas N, Deb K (1994) Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evol Comput 2(3):221–248. https://doi.org/10.1162/evco.1994.2.3.221
Wang D, Wang X, Jung S-Y (2012) Reduction on cogging torque in flux-switching permanent magnet machine by teeth notching schemes. IEEE Trans Magn 48(11):4228–4231. https://doi.org/10.1109/TMAG.2012.2200237
Xiang Z et al (2018) Optimization design and analysis of a hybrid permanent magnet flux-switching motor with compound rotor configuration. China Electrotechn Soc Trans Electr Mach Syst 2(2):200–206. https://doi.org/10.30941/CESTEMS.2018.00024
Yu J, Liu C (2019) Multi-objective optimization of a double-stator hybrid-excited flux-switching permanent-magnet machine. IEEE Trans Energy Convers. https://doi.org/10.1109/tec.2019.2932953
Zhao W et al (2020) Multiobjective optimization of a double-side linear vernier PM motor using response surface method and differential evolution. IEEE Trans Ind Electron. https://doi.org/10.1109/tie.2019.2893848
Zhu X et al (2018) Design and multi-objective stratified optimization of a less-rare-earth hybrid permanent magnets motor with high torque density and low cost. In: IEEE transactions on energy conversion. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/tec.2018.2886316
Zhu X et al (2017) Co-reduction of torque ripple for outer rotor flux-switching pm motor using systematic multi-level design and control schemes. IEEE Trans Ind Electron 64(2):1102–1112. https://doi.org/10.1109/TIE.2016.2613058
Zohoori A et al (2015) An improved AHP method for multi-objective design of FSPM machine for wind farm applications. J Intell Fuzzy Syst 30(1):159–169. https://doi.org/10.3233/IFS-151742
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Mahmouditabar, F., Vahedi, A. Optimum Design of FSPM Motor for Small Water Pump Application Considering Irreversible Demagnetization. Iran J Sci Technol Trans Electr Eng 45, 777–788 (2021). https://doi.org/10.1007/s40998-020-00394-6
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DOI: https://doi.org/10.1007/s40998-020-00394-6