Research on Gate Opening Control Based on Improved Beetle Antennae Search.

Lijun Wang, Yibo Wang, Yehao Kang, Jie Shen, Ruixue Cheng, Jianyong Zhang, Shuheng Shi

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. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lijun WangSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Yibo WangSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Yehao KangSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Jie ShenSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Ruixue ChengSchool of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK.ORCID 0000-0002-0342-295X

Jianyong ZhangSchool of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK.ORCID 0000-0002-9538-9332

Shuheng ShiSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Funding

Acknowledgements This research was supported by "ZHONGYUAN Talent Program" ZYYCYU202012112Foreign Expert Project of Ministry of Science and Technology of the People's Republic of China G2023026004LHenan International Joint Laboratory of Thermo-Fluid Electro Chemical System for New Energy Vehicle Yuke2020-23the Scientific and Technological Project of Henan Province 242102240133Water Conservancy Equipment and Intelligent Operation & Maintenance Engineering Technology Research Centre in Henan Province Yukeshi2024-01

6 · The paper itself

Abstract

To address the issues of sluggish response and inadequate precision in traditional gate opening control systems, this study presents a novel approach for direct current (DC) motor control utilizing an enhanced beetle antennae search (BAS) algorithm to fine-tune the parameters of a fuzzy proportional integral derivative (PID) controller. Initially, the mathematical model of the DC motor drive system is formulated. Subsequently, employing a search algorithm, the three parameters of the PID controller are optimized in accordance with the control requirements. Next, software simulation is employed to analyze the system's response time and overshoot. Furthermore, a comparative analysis is conducted between fuzzy PID control based on the improved beetle antennae search algorithm, and conventional approaches such as the traditional beetle antennae search algorithm, the traditional particle swarm algorithm, and the enhanced particle swarm algorithm. The findings indicate the superior performance of the proposed method, characterized by reduced oscillations and accelerated convergence compared to the alternative methods.

Indexed as

beetle antennae search algorithmbrushless DC motorcontrol systemgate control systemPID control

Identifiers

PMID39001204

DOI10.3390/s24134425

PMCPMC11244589

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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.