Multi-objective optimization design of linear oscillating actuator based on hybrid surrogate model
Minghu Yu, Jiekun Lin, Yuqiu Zhang · 2026
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Description
Minghu Yu and colleagues tune a linear back-and-forth motor with a hybrid stand-in model in a 2026 design study. Thrust wobbles from magnet and cogging forces limit these compact back-and-forth motors used in cooling units, suspensions and power savers, creating a multi-goal design puzzle. The team combined four stand-in models by rule-of-thumb weighting on fit quality. It then searched designs with an improved best-trade sorting genetic search that expands workable designs in the target region.
The tuned test unit improved average output and cut force wobbles, improving control. Static and dynamic tests plus finite element checks confirmed the gains. Builders gain a data-led plan for high-performance back-and-forth motors that avoids slow, endless finite element scans, with lessons shared with other multi-goal motor problems.
Catalog record
| CREATOR | Minghu Yu, Jiekun Lin, Yuqiu Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 84 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |