Multi-objective optimization design of inset-surface permanent magnet machine considering deterministic and robust performances

The inset-surface permanent magnet (ISPM) machine can achieve the desired electromagnetic performance according to traditional deterministic design. However, reliability and quality of may be affected by essential manufacturing tolerances unavoidable noise factors in mass production. To address this weakness, a comprehensive multi-objective optimization design method is proposed, which robust performed after response surface first adopted establish objective equation. Afterward, sample points are obtained via Monte Carlo simulation considering design-variable uncertainty. Design for Six Sigma approach ensure robustness model. Furthermore, barebones particle swarm algorithm used obtain compromise solution. A prototype manufactured evaluate effectiveness proposed method. According finite-element analysis experimental tests, significantly enhanced with