RETRACTED ARTICLE: Mended grey wolf optimization and Taguchi method with multi-goal optimization for six-phase copper rotor induction motor design

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Abstract
To achieve a lower starting current, lower losses, lower input power, higher efficiency, higher output torque and higher power factor, a multi-goal optimization design for a six-phase copper rotor induction motor (SCRIM) connected with a radial compressor is proposed. The mended grey wolf optimization (MGWO) and Taguchi method with finite element analysis (FEA) are put forward in this design method. The goal of optimal design in the first-phase program is to minimize the starting current, stator iron loss, stator copper loss and input power. The goal of optimal design in the second-phase program is to maximize the efficiency, power factor and output torque. The experimental results are further transformed into signal-to-noise (S/N) ratios and MGWO modules based on MGWO analysis with multiple performance characteristics index values. Finally, the experimental results demonstrate the effectiveness of the proposed design.

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