Evidence map›Paper›PMID 37978304›Full record

ArticleScientific reports2023

Trajectory analysis and optimization of sea buckthorn fruit vibration separation manipulator based on I-PSO algorithm.

Bingqin Liang, Xinzhang Lin, Ganghui Liu, Jin Lei, Weibing Wang

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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

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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.

Bingqin LiangCollege of Mechanical and Electrical Engineering; Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery; Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, 832003, China.
Xinzhang LinCollege of Mechanical and Electrical Engineering; Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery; Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, 832003, China.
Ganghui LiuCollege of Mechanical and Electrical Engineering; Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery; Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, 832003, China.
Jin LeiCollege of Mechanical and Electrical Engineering; Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery; Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, 832003, China.
Weibing WangCollege of Mechanical and Electrical Engineering; Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery; Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi University, Shihezi, 832003, China. wwbshz@163.com.

Funding

Financial Science and Technology Plan of Xinjiang Construction Corps 2022CB011National and Regional Science Foundation of China 62163032Xinjiang Construction Corps Ninth Division 2021JS008
6 · The paper itself

Abstract

In this paper, the optimal time planning of vibration separation trajectory of Hippophae rhamnoides fruit is studied for space manipulator using the I-PSO algorithm. The first step is to analyze the motion of the robotic arm's joints, which are limited in range and speed, in combination with a 3-5-3 polynomial interpolation, an improved Particle swarm optimization with adaptive inertia weight and asynchronous learning factor is proposed, and the specific process is given. Experimental images and data show that the improved particle swarm optimization algorithm can ensure the continuity of joint acceleration and velocity, and the optimal vibration trajectory time is 0.536539094 s Compared with the planned system trajectory time of 0.71022 s, the speed increased by 24.5%. The results of the orthogonal experiment show that the average fruit drop rate reaches 96.19%, which verifies the validity and reliability of the I-PSO algorithm for optimal time planning of seabuckthorn fruit separation vibration trajectory.

Identifiers

PMID37978304
PMCPMC10656555

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