Yusuf ÖZOĞLU

Multiresponse optimization to improve the torque behavior of an outer-rotor permanent-magnet machine using gray relational analysis based on the Taguchi method

The torque behavior of an outer-rotor surface-mounted permanent-magnet machine is improved by identifying seven pertinent design variables, including rotor height. The optimal design variables are revealed by analyzing 18 experiments determined by the Taguchi method for the minimum torque ripple, minimum total harmonic distortion of the induced voltage, and maximum average torque. In addition, the optimal design variables are obtained very quickly by using gray relational analysis based on the Taguchi method with the single response of the gray relational grade instead of multiple responses. A considerable amount of multiresponse improvement is achieved according to the results of the two optimizations. Performance improvements of 20.6%, 32.0%, and 24.5% are obtained for the average torque, the torque ripple, and the total harmonic distortion of the back-EMF, respectively.

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[1] Wu D, Zhu ZQ. Design Tradeoff between cogging torque and torque ripple in fractional slot surface-mounted permanent magnet machines. IEEE T Magn 2015; 51: 1-4.
[2] Xu Y, Zhao J, Fu X. Quantitative analysis for in uence of structure parameters on the slot harmonic in fractional- slot permanent magnet motors. In: 2014 17th International Conference on Electrical Machines and Systems; 22{25 October 2014; Hangzhou, China. New York, NY, USE: IEEE. pp. 349-353.
[3] Bianchi N, Bolognani S. Design techniques for reducing the cogging torque in surface-mounted PM motors. IEEE T Ind Appl 2002; 38: 1259-1265.
[4] Huang S, Zhang J, Gao J, Huang K. Optimization the electromagnetic torque ripple of permanent magnet syn- chronous motor. In: IEEE 2010 International Conference on Electrical and Control Engineering; 25{27 June 2010; Wuhan, China. New York, NY, USE: IEEE. pp. 3969-3972.
[5] Upadhayay P, Rajagopal KR. Torque ripple reduction using magnet pole shaping in a surface mounted permanent magnet BLDC motor. In: 2013 International Conference on Renewable Energy Research and Applications; 20{23 October 2013; Madrid, Spain. New York, NY, USE: IEEE. pp. 516-521.
[6] Shen Y, Zhu ZQ. Analytical prediction of optimal split ratio for fractional-slot external rotor PM brushless machines. IEEE T Magn 2011; 47: 4187-4190.
[7] Tsai WC. Robust design of a 5MW permanent magnet synchronous generator using Taguchi method. In: 2012 7th International Conference on Computing and Convergence Technology; 3{5 December 2012; Seoul, South Korea. New York, NY, USA: IEEE. pp. 1328-1334.
[8] Gaing ZL, Chiang JA. Robust design of in-wheel PM motor by fuzzy-based Taguchi method. In: IEEE 2010 Power and Energy Society General Meeting; 25{29 July 2010; Michigan, USA. New York, NY, USA: IEEE. pp. 1-7.
[9] Hwang CC, Chang CM, Liu CT. A fuzzy-based Taguchi method for multiobjective design of PM motors. IEEE T Magn 2013; 49: 2153-2156.
[10] Gaing ZL, Wang QQ, Chiang JA. Optimization of in-wheel PM motor by fuzzy-based Taguchi method. In: 2010 International Power Electronics Conference; 27{29 October 2010; Singapore. New York, NY, USA: IEEE. pp. 1312-1316.
[11] Kim SI, Lee JY, Kim YK, Hong JP, Hur Y, Jung YH. Optimization for reduction of torque ripple in interior permanent magnet motor by using the Taguchi method. IEEE T Magn 2005; 41: 1796-1799.
[12] Krishnaiah K, Shahabudeen P. Applied Design of Experiments and Taguchi Methods. New Delhi, India: PHI Learning Pvt. Ltd., 2012.