Evidence map›Paper›PMID 42512984›Full record

ArticleMicromachines2026

Multi-Layer Control with Disturbance Observers for a Long-Travel Dual-Stage Precision Positioning Platform.

Fu-Cheng Wang, Yu-Chi Zane Wang, Yan-Teng Chang, Bo-Xuan Zhong, Yu-Cheng Hsueh, Tien-Tung Chung, Jia-Yush Yen

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Fu-Cheng WangDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0001-5011-7934
Yu-Chi Zane WangDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Yan-Teng ChangDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Bo-Xuan ZhongDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Yu-Cheng HsuehDepartment 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

National Science and Technology Council NSTC 114-2221-E-002 -178 -MY2
6 · The paper itself

Abstract

This paper investigates the effects of disturbance observers on a long-travel precision positioning platform. We propose a multi-layer control architecture, including a disturbance observer, a feedforward compensator, gain-scheduling, and control switching. The platform consists of motor and piezoelectric transducer (PZT) stages to enable nanometre-level accuracy within 10 cm travel ranges. We identified the dynamic models of the stages through experiments and applied them to develop control designs. The PZT stage was equipped with feedforward compensators, a disturbance observer and real-time switching control schemes to achieve robust and precise tracking. On the other hand, we applied gain-scheduling and feedforward compensation to the motor stages to track large displacements. The control effects of the integrated platform were validated through simulations and experiments and demonstrated significant improvements in accuracy and robustness. Finally, the platform was incorporated with two-photon polymerisation to fabricate micro-lenses. This work evaluates the lenses' optical properties to highlight the advantages provided by the multiple control structure for improving precision and microfabrication applications.

Indexed as

controldisturbance observerfabricationfeedforwardgain-schedulingmotorPZTstageswitching

Identifiers

PMID42512984
PMCPMC13413495

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.