Evidence map›Paper›PMID 38676021›Full record

ArticleSensors (Basel, Switzerland)2024

Observer-Based Adaptive Sliding Mode Compensation Position-Tracking Control for Drilling Tool Attitude Adjustment.

Jinheng Gu, Xunqi Wang, Haifeng Yan, Chao Tan, Lei Si, Zhongbin Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jinheng GuSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-9086-2282
Xunqi WangSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Haifeng YanSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Chao TanSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Lei SiSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-4087-9430
Zhongbin WangSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.

Funding

National Natural Science Foundation of China 52304184
6 · The paper itself

Abstract

This study develops an adaptive sliding mode control approach for a drilling tool attitude adjustment system, aiming at solving the problems of model uncertainties and insufficient ability of disturbance suppression during the regulation behavior. To further improve the performance of the position-tracking loop in terms of response time, tracking accuracy, and robustness, a state observer based on an improved radial basis function is designed to approximate the model uncertainties, a valve dead-zone compensate controller is used to reduce control deviation, an adaptive sliding mode controller is designed to improve the position-tracking precision and attenuate sliding mode chattering. Finally, simulation and experimental results are carried out to verify the observability of the model uncertainties and position-tracking errors of the drilling tool attitude adjustment system, which can effectively improve the position-tracking performance and robustness of the drilling tool attitude adjustment system.

Indexed as

adaptive sliding mode controlcoal mine drilling robot for rockburst preventiondrilling tool attitude adjustment systemobserver-based controllerposition-tracking control

Identifiers

PMID38676021
PMCPMC11054651

What OpenQuestion holds

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LicenceCC BY
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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.