Abroon Jamal Qazi , Afzal Khan , M. Tahir Khan , Sahar Noor
{"title":"A Parametric Study on Performance of Semi-active Suspension System with Variable Damping Coefficient Limit","authors":"Abroon Jamal Qazi , Afzal Khan , M. Tahir Khan , Sahar Noor","doi":"10.1016/j.aasri.2013.10.024","DOIUrl":null,"url":null,"abstract":"<div><p>The research paper involves modeling of semi-active suspension system using quarter car model in Simulink environment. In order to modulate the damping coefficient value, fuzzy logic controller is modeled using Fuzzy Tool Box. Three different damping coefficient limits are selected for analyzing the response of system in terms of ride comfort. Road disturbance profile comprising a combination of two sinusoidal curves is modeled and the three semi-active suspension systems are simulated. Suspension displacement and velocity parameters are selected as the indicators of ride comfort. The results manifest supremacy of the system having damping coefficient limit of 4000<!--> <!-->N s/m. The optimized system performs well fulfilling the requirements of minimum percentage overshoot and rapid stabilizing time.</p></div>","PeriodicalId":100008,"journal":{"name":"AASRI Procedia","volume":"4 ","pages":"Pages 154-159"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.aasri.2013.10.024","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AASRI Procedia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212671613000255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
The research paper involves modeling of semi-active suspension system using quarter car model in Simulink environment. In order to modulate the damping coefficient value, fuzzy logic controller is modeled using Fuzzy Tool Box. Three different damping coefficient limits are selected for analyzing the response of system in terms of ride comfort. Road disturbance profile comprising a combination of two sinusoidal curves is modeled and the three semi-active suspension systems are simulated. Suspension displacement and velocity parameters are selected as the indicators of ride comfort. The results manifest supremacy of the system having damping coefficient limit of 4000 N s/m. The optimized system performs well fulfilling the requirements of minimum percentage overshoot and rapid stabilizing time.
在Simulink环境下,采用四分之一小车模型对半主动悬架系统进行建模。为了调制阻尼系数值,利用模糊工具箱对模糊控制器进行建模。选取了三种不同的阻尼系数限值,从平顺性角度分析了系统的响应。建立了由两条正弦曲线组成的道路扰动曲线模型,并对三种半主动悬架系统进行了仿真。选取悬架位移和速度参数作为平顺性指标。结果表明,阻尼系数极限为4000 N s/m的系统具有优势。优化后的系统较好地满足了最小超调率和快速稳定时间的要求。