Reliability-Based Robust Design Optimization for Maximizing the Output Torque of Brushless Direct Current (BLDC) Motors Considering Manufacturing Uncertainty

In recent years, the deterministic design optimization method has been widely used to improve output performance of brushless direct current (BLDC) motors. However, it does not contribute reducing failure rate and variation products because cannot determine manufacturing uncertainty. this study, we proposed reliability-based robust torque a BLDC motor while variation. We calculated vibration response using electromagnetic–structural coupled analysis. selected tooth thickness, slot opening width, radius, depth, magnet length as variables related shape stator rotor that affect torque. considered distribution with tolerances. performed reliability analysis considering Using results, (RBRDO) maximize torque; consequently, increased by 8.8% compared initial motor, standard deviation in decreased 46.9% improved robustness, 99.2% enhanced reliability. The is be useful actual product field can evaluate both robustness its stage.