Genetic Algorithm and Fuzzy Based on The Taguchi Optimization to Improve The Torque Behavior of An Outer-Rotor Permanent-Magnet Machine

Yıl 2018, Cilt: 31 Sayı: 1, 82 - 98, 01.03.2018

Yusuf Özoğlu

Öz

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 fuzzy inference mechanism
and genetic algorithm based on the Taguchi method with the single response of the
multi-response performance index instead of multiple responses. A considerable
amount of multi-response improvement is achieved according to the results of the
two optimizations. Performance improvements of 20.3%, 32.8%, and 25.2% are
obtained for the average torque, the torque ripple, and the total harmonic
distortion of the back-EMF, respectively.    

Anahtar Kelimeler

Torque Ripple, Taguchi Method, Fuzzy Inference System, Multi-Response Performance Index, Genetic Algorithm

Kaynakça

• Wu, D. and Zhu, Z.Q., “Design Tradeoff Between Cogging Torque and Torque Ripple in Fractional Slot Surface-Mounted Permanent Magnet Machines”, IEEE Transactions on Magnetics, 51(11), 1-4, (2015).
• Xu, Y., Zhao, J. and Fu, X., “Quantitative analysis for influence of structure parameters on the slot harmonic in fractional-slot permanent magnet motors”, 17th International Conference on Electrical Machines and Systems, ICEMS 2014, Hangzhou, China, 349-353, (2015).
• Bianchi, N. and Bolognani, S., “Design Techniques for Reducing the Cogging Torque in Surface-Mounted PM Motors”, IEEE Transactions on Industry Applications, 38(5), 1259-1265, (2002).
• Huang, S., Zhang, J., Gao, J. and Huang, K., “Optimization The Electromagnetic Torque Ripple of Permanent Magnet Synchronous Motor”, International Conference on Electrical and Control Engineering, ICECE 2010, Wuhan, China, 3969-3972, (2010).
• Upadhayay, P. and Rajagopal, K.R., “Torque ripple reduction using magnet pole shaping in a surface mounted permanent magnet bldc motor”, 2nd International Conference on Renewable Energy Research and Applications, ICRERA 2013, Madrid, Spain, 516-521, (2013).
• Shen, Y. and Zhu, Z.Q., “Analytical Prediction of Optimal Split Ratio for Fractional-Slot External Rotor PM Brushless Machines”, IEEE Transactions on Magnetics, 47(10), 4187-4190, (2011).
• Tsai, W.C., “Robust Design of a 5MW Permanent Magnet Synchronous Generator Using Taguchi Method”, 7th International Conference on Computing and Convergence Technology, ICCCT 2012, Seoul, South Korea, 1328-1334, (2012).
• Gaing, Z.L. and Chiang, J.A., “Robust Design of In-Wheel PM Motor by Fuzzy-Based Taguchi Method”, IEEE Power and Energy Society General Meeting, Michigan, USA, 1-7, (2010).
• Hwang, C.C., Chang, C.M. and Liu, C.T., “A Fuzzy-Based Taguchi Method for Multiobjective Design of PM Motors”, IEEE Transactions on Magnetics, 49(5), 2153-2156, (2013).
• Gaing, Z.L., Wang, Q.Q. and Chiang, J.A., “Optimization of in-wheel PM motor by fuzzy-based Taguchi method”, International Power Electronics Conference, IPEC 2010, Singapore, Singapore, 1312-1316, (2010).
• Kim, S.I., Lee, J.Y., Kim, Y.K., Hong, J.P., Hur, Y. and Jung, Y.H., “Optimization for Reduction of Torque Ripple in Interior Permanent Magnet Motor by Using the Taguchi Method”, IEEE Transactions on Magnetics, 41(5), 1796-1799, (2005).
• Hwang, C.C., Lyu, L.Y., Liu, C.T. and Li, P.L., “Optimal Design of an SPM Motor Using Genetic Algorithms and Taguchi Method”, IEEE Transactions on Magnetics, 44(11), 4325-4328, (2008).
• Krishnaiah, K. and Shahabudeen, P., Applied Design of Experiments and Taguchi Methods, PHI Learning Pvt. Ltd., (2012).
• Jang, J.S.R., Sun, C.T. and Mizutani, E., Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence, Prentice-Hall Inc., (1997).