Evidence map›Paper›PMID 41156352›Full record

ArticleMicromachines2025

Integrated Control Strategies for a Precision Long-Travel Stage: Applications in Micro-Lens Fabrication.

Fu-Cheng Wang, Yan-Teng Chang, Ming-Hsiang Chang, Bo-Xuan Zhong, Tien-Tung Chung, Jia-Yush Yen

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fu-Cheng WangDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0001-5011-7934
Yan-Teng ChangDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Ming-Hsiang ChangDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Bo-Xuan ZhongDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Tien-Tung ChungDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Jia-Yush YenDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.

Funding

Ministry of Science and Technology of Taiwan MOST 111-2221-E-002-190-MY3National Science and Technology Council of Taiwan NSTC 114-2221-E-002 -178 -MY2
6 · The paper itself

Abstract

This paper develops multiple control strategies for a precision long-travel stage, which comprises motor and piezoelectric transducer (PZT) stages. First, the PZT stage is equipped with control switching and model estimation mechanisms to achieve nm-level precision within 100 μm distances. The control switching mechanism selects the optimal control sequences by predicting system responses, while the model estimation algorithm updates the system model to improve the prediction accuracy. Second, the motor stage is equipped with gain-scheduling and feedforward control mechanisms to achieve a maximum displacement of 100 mm with a resolution of 0.1 μm. The gain scheduling control modifies the control gain in accordance with tracking errors, while the feedforward control can mitigate phase lags. We integrate the stages to achieve nm-level precision over long travels and conduct simulations and experiments to show the advantages of the control mechanisms. Finally, we apply the long-travel precision stage to fabricate micro-lenses using two-photon polymerization and evaluate the fabricated micro-lenses' optical characteristics to illustrate the merits of the control strategies.

Indexed as

control switchingfeedforwardgain schedulingmicro-lensmodel estimationprecision stagerobust controltwo-photon polymerization

Identifiers

PMID41156352
PMCPMC12565986

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.