Evidence map›Paper›PMID 37112433›Full record

ArticleSensors (Basel, Switzerland)2023

Research on Synchronous Control of Active Disturbance Rejection Position of Multiple Hydraulic Cylinders of Digging-Anchor-Support Robot.

Tianbing Ma, Xiangxiang Guo, Guoyong Su, Haishun Deng, Ting Yang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Tianbing MaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal, Anhui University of Science and Technology, Huainan 232000, China.
Xiangxiang GuoState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal, Anhui University of Science and Technology, Huainan 232000, China.
Guoyong SuState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal, Anhui University of Science and Technology, Huainan 232000, China.
Haishun DengCollege of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232000, China.
Ting YangState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal, Anhui University of Science and Technology, Huainan 232000, China.

Funding

the Anhui Provincial Key Research and Development Plan 202104a07020005the Anhui Provincial Natural Science Foundation 2008085ME178the Supported by the Independent Project of State Key Laboratory SKLMRDPC20ZZ01the University Natural Science Research Program of Anhui Province KJ2020A0281the University Synergy Innovation Prgram of Ahui Province GXXT-2022-019
6 · The paper itself

Abstract

In order to solve the problems of nonlinearity, uncertainty and coupling of multi-hydraulic cylinder group platform of a digging-anchor-support robot, as well as the lack of synchronization control accuracy of hydraulic synchronous motors, an improved Automatic Disturbance Rejection Controller-Improved Particle Swarm Optimization (ADRC-IPSO) position synchronization control method is proposed. The mathematical model of a multi-hydraulic cylinder group platform of a digging-anchor-support robot is established, the compression factor is used to replace the inertia weight, and the traditional Particle Swarm Optimization (PSO) algorithm is improved by using the genetic algorithm theory to improve the optimization range and convergence rate of the algorithm, and the parameters of the Active Disturbance Rejection Controller (ADRC) were adjusted online. The simulation results verify the effectiveness of the improved ADRC-IPSO control method. The experimental results show that, compared with the traditional ADRC, ADRC-PSO and PID controller, the improved ADRC-IPSO has better position tracking performance and shorter adjusting time, and its step signal synchronization error is controlled within 5.0 mm, and the adjusting time is less than 2.55 s, indicating that the designed controller has better synchronization control effect.

Indexed as

ADRCdigging-anchor-support robotmultiple hydraulic cylindersposition synchronizationPSO

Identifiers

PMID37112433
PMCPMC10144339

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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.