Evidence map›Paper›PMID 42653558›Full record

ArticleMicromachines2026

Adaptive Inverse Control Using the Krasnosel'skii-Pokrovskii Model for Hysteresis Compensation in Piezoelectric Flexure Micro-Positioning Stage.

Yuansheng Chen, Hao Lou, Jian Wang, Shaona Liu

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuansheng ChenSchool of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China.ORCID 0000-0001-5124-1857
Hao LouSchool of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China.
Jian WangSchool of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0002-1443-9861
Shaona LiuSchool of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China.

Funding

General Projects of Natural Science Research in Jiangsu Higher Education Institutions 25KJB460028National Natural Science Foundation of China 12402268
6 · The paper itself

Abstract

Piezoelectric flexure micro-positioning stages are essential micromotion actuators for micro-assembly, atomic force microscopy and nano-manufacturing, but intrinsic hysteresis nonlinearity of piezoelectric stacks distorts the linear voltage-to-displacement mapping and induces significant micro-positioning errors. Conventional hysteresis compensation based on offline-calibrated Krasnosel'skii-Pokrovskii (KP) models cannot adapt to time-varying excitation, whereas state-of-the-art adaptive KP control requires auxiliary dynamic equations and imposes high computational overhead on miniature real-time controllers. To address these limitations, this paper develops a single-degree-of-freedom micromotion positioning device equipped with symmetric two-stage displacement amplification mechanisms and straight circular flexure hinges. ANSYS finite element simulations validate the mechanical stiffness, structural safety and linear amplification characteristic of the micro-positioning stage, achieving a maximum output stroke of 95.95 μm. A discretized KP hysteresis model is constructed to accurately capture the asymmetric rate-dependent hysteresis of piezoelectric stacks. On this basis, a lightweight adaptive inverse control framework is proposed, which realizes online tuning of KP weights through gradient descent iteration only relying on real-time position feedback, eliminating static pre-calibration and extra dynamic correction links. Tracking experiments under 0.1-2 Hz sinusoidal waveforms and 3-7 V variable-amplitude sinusoidal waveforms are implemented. Experimental results show that the proposed approach reduces the root-mean-square error (RMSE) by 7.41-85.65% and the mean absolute percentage error (MAPE) by 7.56-87.81% compared with uncompensated open-loop micromotion control. The combined micro-flexure mechanical design and adaptive hysteresis compensation strategy greatly improves positioning accuracy and anti-interference capacity, offering a low-computation technical route for high-performance micro-positioning systems.

Indexed as

adaptive inverse controlhysteresis compensationKrasnosel’skii-Pokrovskii hysteresis modelpiezoelectric flexure micro-positioning stagestraight circular flexure hingetwo-stage displacement amplifier

Identifiers

PMID42653558
PMCPMC13515919

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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.