GAPSO-Optimized Fuzzy PID Controller for Electric-Driven Seeding.

Song Wang, Bin Zhao, Shujuan Yi, Zheng Zhou, Xue Zhao

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

2.5field-weighted citation impact, top 11% of its field

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, 22 citations in OpenAlex.

Control Method of Cold and Hot Shock Test of Sensors in Medium.Sensors (Basel, Switzerland) · 2023
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 at 2 institutions in 1 country.

Song WangCollege of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China.

Bin ZhaoCollege of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China.

Shujuan YiCollege of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China.

Zheng ZhouCollege of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China.

Xue ZhaoCollege of Software, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Heilongjiang Bayi Agricultural University · CNShanxi Agricultural University · CN

Funding

Daqing science and Technology Bureau NO.zd-2020-46Department of science and technology of Heilongjiang Province NO.LH2019E073Department of science and technology of Heilongjiang Province NO.SC2020ZX17B0009

6 · The paper itself

Abstract

To improve the seeding motor control performance of electric-driven seeding (EDS), a genetic particle swarm optimization (GAPSO)-optimized fuzzy PID control strategy for electric-driven seeding was designed. Since the parameters of the fuzzy controller were difficult to determine, two quantization factors were applied to the input of the fuzzy controller, and three scaling factors were introduced into the output of fuzzy controller. Genetic algorithm (GA) and particle swarm optimization (PSO) were combined into GAPSO by a genetic screening method. GAPSO was introduced to optimize the initial values of the two quantization factors, three scaling factors, and three characteristic functions before updating. The simulation results showed that the maximum overshoot of the GAPSO-based fuzzy PID controller system was 0.071%, settling time was 0.408 s, and steady-state error was 3.0693 × 10

Indexed as

control strategyelectric-driven seedingfuzzy PIDgenetic particle swarm optimization

Identifiers

PMID36081141

DOI10.3390/s22176678

PMCPMC9460298

OpenAlexW4295078937

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.