[
Ackermann, B., Janssen, J. H., Sottek, R. and Van Steen, R. I. (1992). New Technique for Reducing Cogging Torque in a Class of Brushless DC Motors. IEE Proceedings of Electric Power Applications, 139(4), pp. 315–320.10.1049/ip-b.1992.0038
]Search in Google Scholar
[
Benlamine, R., Dubas, F., Randi, S. A., Lhotellier, D. and Espanet, C., (2013). Design by Optimization of an Axial-Flux Permanent-Magnet Synchronous Motor Using Genetic Algorithms. 2013 International Conference on Electrical Machines and Systems (ICEMS), 23–26, pp. 13–17.10.1109/ICEMS.2013.6754546
]Search in Google Scholar
[
Bianchi, N. and Bolognani, S. (2002). Design Techniques for Reducing the Cogging Torque in Surface-Mounted PM Motors. IEEE Transactions on Industry Applications, 38(5), pp. 1259–1265.10.1109/TIA.2002.802989
]Search in Google Scholar
[
Bianchi, N. and Bolognani, S. (2000). Reducing Torque Ripple in PM Synchronous Motors by Pole Shifting. Proceedings of the International Conference on Electrical Machines ICEM, 28–30, pp. 1222–1226.
]Search in Google Scholar
[
Chitara, D., Niazi, K. R., Swarnkar, A., and Gupta, N., (2018). Cuckoo Search Optimization Algorithm for Designing of a Multimachine Power System Stabilizer. IEEE Transactions on Industry Applications, 54(4), pp. 3056–3065.10.1109/TIA.2018.2811725
]Search in Google Scholar
[
Cvetkovski, G. and Petkovska, L. (2016). Multi-Objective Approach of Design Optimization of Axial Flux Permanent Magnet Motor. International Journal of Applied Electromagnetics and Mechanics, 51(s1), pp. S115–S123.10.3233/JAE-2006
]Search in Google Scholar
[
Cvetkovski, G. and Petkovska, L. (2021). Cogging Torque Minimization of PM Synchronous Motor Using Nature Based Algorithms. IEEE International Power Electronics and Motion Control Conference IEEE PEMC2020, 25–29, pp. 419–425.10.1109/PEMC48073.2021.9432507
]Search in Google Scholar
[
Deb, K. and Jain, H. (2014). An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Non-dominated Sorting Approach, Part I: Solving Problems With Box Constraints, IEEE Transactions on Evolutionary Computation, 18(4), pp. 577–601.10.1109/TEVC.2013.2281535
]Search in Google Scholar
[
Deodhar, R. P. Stanton, D. A. Jahns, T. M. and Miller, T. J. (1996). Prediction of Cogging Torque Using the Flux-MMF Diagram Technique. IEEE Transactions on Industry Application, 32(3), pp. 569–575.10.1109/28.502168
]Search in Google Scholar
[
Di Barba, P., Mognaschi, M. E., Rezaei, N., Lowther, D. A. and Rahman, T. (2019). Many-Objective Shape Optimisation of IPM Motors for Electric Vehicle Traction. International Journal of Applied Electromagnetics and Mechanics, 60(S1), pp. S149–S162.10.3233/JAE-191113
]Search in Google Scholar
[
Eom, J. B., Hwang, S. M., Kim, T. J., Jeong, W. B. and Kang, B. S. (2001). Minimization of Cogging Torque in Permanent Magnet Motors by Teeth Pairing and Magnet Arc Design Using Genetic Algorithm. Journal of Magnetism and Magnetic Materials, 226–230(2), pp. 1229–1231.10.1016/S0304-8853(01)00053-1
]Search in Google Scholar
[
Fei, W. and Luk, P. C. (2010). A New Technique of Cogging Torque Suppression in Direct-Drive Permanent-Magnet Brushless Machines. IEEE Transactions on Industry Applications, 46(4), pp. 1332–1340.10.1109/TIA.2010.2049551
]Search in Google Scholar
[
Gieras, J. F. (2004). Analytical Approach to Cogging Torque Calculation of PM Brushless Motors. IEEE Transactions on Industry Applications, 40(5), pp. 1310–1316.10.1109/TIA.2004.834108
]Search in Google Scholar
[
Goto, M. and Kobayashi, K. (1983). An Analysis of the Cogging Torque of a DC Motor and a New Technique of Reducing the Cogging Torque. Electrical Engineering Japan, 103(5), pp. 113–120.10.1002/eej.4391030515
]Search in Google Scholar
[
Ho, S. L., Chen, N. and Fu, W. N. (2010). An Optimal Design Method for the Minimization of Cogging Torques of a Permanent Magnet Motor Using FEM and Genetic Algorithm. IEEE Transactions on Applied Superconductivity, 20(3), pp. 861–864.10.1109/TASC.2009.2038717
]Search in Google Scholar
[
Holland, J. H. (1995). Adaptation in Natural and Artificial Systems. Ann Arbor: University of Michigan Press.
]Search in Google Scholar
[
Infolytica, User’s manual, Infolytica Corporation,Wappenham, 2016.
]Search in Google Scholar
[
Ishikawa, T. and Slemon, G. R. (1993). A Method of Reducing Ripple Torque in Permanent Magnet Motors Without Skewing. IEEE Transactions on Magnetics, 29(2), pp. 2028–2031.10.1109/20.250808
]Search in Google Scholar
[
Islam, M. S., Mir, S. and Sebastian, T. (2004). Issues in Reducing the Cogging Torque of Mass-Produced Permanent-Magnet Brushless DC Motor. IEEE Transactions on Industry Applications, 40(3), pp. 813–820.10.1109/TIA.2004.827469
]Search in Google Scholar
[
Jensen, W. R., Pham, T. Q. and Foster, S. N. (2019). Comparison of multi-objective optimization methods applied to electrical machine design. In: K. Deb, eds., Evolutionary Multi-Criterion Optimization. Cham: Springer, pp. 719–730.10.1007/978-3-030-12598-1_57
]Search in Google Scholar
[
Kamal, C., Thyagarajan, T., Selvakumari, M. and Kalpana, D., (2017). Cogging Torque Minimization in Brushless DC Motor Using PSO and GA Based Optimization. 2017 Trends in Industrial Measurement and Automation (TIMA), pp. 1–5.10.1109/TIMA.2017.8064815
]Search in Google Scholar
[
Kang, G. H. and Hur, J. (2005). Analytical Prediction and Reduction of the Cogging Torque in Interior Permanent Magnet Motor. IEEE International Conference on Electric Machines and Drives, pp. 1620–1624.10.1109/IEMDC.2005.195936
]Search in Google Scholar
[
Kumar, A. and Chakarverty, S. (2011). Design Optimization for Reliable Embedded System Using Cuckoo Search. 2011 3rd International Conference on Electronics Computer Technology, 1, pp. 264–268.10.1109/ICECTECH.2011.5941602
]Search in Google Scholar
[
Lei, G., Bramerdorfer, G., Ma, B., Guo, Y. and Zhu, J. (2021). Robust Design Optimization of Electrical Machines: Multi-Objective Approach. IEEE Transactions on Energy Conversion, 36(1), pp. 390–401.10.1109/TEC.2020.3003050
]Search in Google Scholar
[
Li, T. and Slemon, G. (1988). Reduction of Cogging Torque in Permanent Magnet Motors. IEEE Transactions on Magnetics, 24(6), pp. 2901–2903.10.1109/20.92282
]Search in Google Scholar
[
Lukaniszyn, M., Jagiela, M. and Wrobel, R. (2004). Optimization of Permanent Magnet Shape for Minimum Cogging Torque Using a Genetic Algorithm. IEEE Transactions on Magnetics, 40(2), pp. 1228–1231.10.1109/TMAG.2004.825185
]Search in Google Scholar
[
Ma, G., Qiu, X., Yang, J., Bu, F., Dou, Y. and Cao, W. (2018). Structural Parameter Optimization to Reduce Cogging Torque of the Consequent Pole In-Wheel Motor. 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC), pp. 170–175.10.1109/EPEPEMC.2018.8521869
]Search in Google Scholar
[
Mirahki, H., Moallem, M. and Rahimi, S. A. (2014). Design Optimization of IPMSM for 42 V Integrated Starter Alternator Using Lumped Parameter Model and Genetic Algorithms. IEEE Transactions on Magnetics, 50(3), pp. 114–119.10.1109/TMAG.2013.2285358
]Search in Google Scholar
[
Mirjalili, S., Dong, J. S. and Lewis, A. (2020). Nature-Inspired Optimizers–Theories, Literature Reviews and Applications. Springer, Cham, Switzerland.10.1007/978-3-030-12127-3
]Search in Google Scholar
[
Motor Solve, User’s manual, Infolytica Corporation,Wappenham 2016.
]Search in Google Scholar
[
Quintal-Palomo, R., Dybkowski, M. and Qwoździewicz, M. A. (2016). Parametric Analysis for the Design of a 4 Pole Radial Permanent Magnet Generator for Small Wind Turbines. Power Electronics and Drives, 36(2), pp. 175–186.
]Search in Google Scholar
[
Siregar, M., Mohamed, T. Z., Wohon, D. R. and Nur, T. (2019). Optimizing the Cogging Torque Reduction of Integral Slot Number in Permanent Magnet Machine. 2019 International Conference on Technologies and Policies in Electric Power & Energy, pp. 1–5.10.1109/IEEECONF48524.2019.9102530
]Search in Google Scholar
[
Sun, S., Jiang, F., Li, T. and Yang, K. (2019). Optimization of Cogging Torque in a Hybrid Axial and Radial Flux Permanent Magnet Machine. 22nd International Conference on Electrical Machines and Systems (ICEMS), pp. 1–5.10.1109/ICEMS.2019.8921947
]Search in Google Scholar
[
Uler, G. F., Mohammed, O. A. and Koh, C. S. (1995). Design Optimization of Electrical Machines Using Genetic Algorithms. IEEE Transactions on Magnetics, 31(3), pp. 2008–2011.10.1109/20.376437
]Search in Google Scholar
[
Wu, L. J., Zhu, Z. Q., Staton, D. A., Popescu, M. and Hawkins, D. (2012). Comparison of Analytical Models of Cogging Torque in Surface-Mounted PM Machines. IEEE Transactions on Industrial Electronics, 59(6), pp. 2414–2425.10.1109/TIE.2011.2143379
]Search in Google Scholar
[
Yang, X. S. (2014). Nature-Inspired Optimization Algorithms. Elsevier, London.10.1016/B978-0-12-416743-8.00010-5
]Search in Google Scholar
[
Yang, X. S. and Deb, S. (2010). Engineering optimization by Cuckoo Search. International Journal of Mathematical Modelling and Numerical Optimization, 1(4), pp. 330–343.10.1504/IJMMNO.2010.035430
]Search in Google Scholar
[
Zarko, D., Ban, D., and Lipo, T. A. (2008). Analytical Solution for Cogging Torque in Surface Permanent-Magnet Motors Using Conformal Mapping. IEEE Transactions on Magnetics, 44(1), pp. 52–65.10.1109/TMAG.2007.908652
]Search in Google Scholar
[
Zhu, Z. Q. and Howe, D. (2000). Influence of Design Parameters on Cogging Torque in Permanent Magnet Machines. IEEE Transactions on Energy Conversion, 15(4), pp. 407–412.10.1109/60.900501
]Search in Google Scholar
