{"title":"Improving stability and adaptability of automotive electric steering systems based on a novel optimal integrated algorithm","authors":"Tuan Anh Nguyen, Jamshed Iqbal","doi":"10.1108/ec-10-2023-0675","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Design a novel optimal integrated control algorithm for the automotive electric steering system to improve the stability and adaptation of the system.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Simulation and calculation.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The output signals follow the reference signal with high accuracy.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The optimal integrated algorithm is established based on the combination of PID and SMC. The parameters of the PID controller are adjusted using a fuzzy algorithm. The optimal range of adjustment values is determined using a genetic algorithm.</p><!--/ Abstract__block -->","PeriodicalId":50522,"journal":{"name":"Engineering Computations","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Computations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1108/ec-10-2023-0675","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Design a novel optimal integrated control algorithm for the automotive electric steering system to improve the stability and adaptation of the system.
Design/methodology/approach
Simulation and calculation.
Findings
The output signals follow the reference signal with high accuracy.
Originality/value
The optimal integrated algorithm is established based on the combination of PID and SMC. The parameters of the PID controller are adjusted using a fuzzy algorithm. The optimal range of adjustment values is determined using a genetic algorithm.
期刊介绍:
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