Evidence map›Paper›PMID 38475180›Full record

ArticleSensors (Basel, Switzerland)2024

Research on Electric Oil-Pneumatic Active Suspension Based on Fractional-Order PID Position Control.

Yaozeng Hu, Jianze Liu, Zhuang Wang, Jingming Zhang, Jiang Liu

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

5 authors.

Yaozeng HuInstitute of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China.
Jianze LiuInstitute of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China.ORCID 0000-0003-4621-9043
Zhuang WangInstitute of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China.
Jingming ZhangInstitute of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China.
Jiang LiuInstitute of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China.

Funding

Shandong Provincial Natural Science Foundation ZR202111180079
6 · The paper itself

Abstract

In this study, an electric oil and gas actuator based on fractional-order PID position feedback control is proposed, through which the damping coefficient of the suspension system is adjusted to realize the active control of the suspension. An FOPID algorithm is used to control the motor's rotational angle to realize the damping adjustment of the suspension system. In this process, the road roughness is collected by the sensors as the criterion of damping adjustment, and the particle swarm algorithm is utilized to find the optimal objective function under different road surface slopes, to obtain the optimal cornering value. According to the mathematical and physical model of the suspension system, the simulation model and the corresponding test platform of this type of suspension system are built. The simulation and experimental results show that the simulation results of the fractional-order nonlinear suspension model are closer to the actual experimental values than those of the traditional linear suspension model, and the accuracy of each performance index is improved by more than 18.5%. The designed active suspension system optimizes the body acceleration, suspension dynamic deflection, and tire dynamic load to 89.8%, 56.7%, and 73.4% of the passive suspension, respectively. It is worth noting that, compared to traditional PID control circuits, the FOPID control circuit designed for motors has an improved control performance. This study provides an effective theoretical and empirical basis for the control and optimization of fractional-order nonlinear suspension systems.

Indexed as

active suspensionFOPID controlfractional-order dampingoil–pneumatic actuatorparticle swarm algorithm

Identifiers

PMID38475180
PMCPMC10934469

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.