Nursefa Zengin, Halit Zengin, B. Fidan, A. Khajepour
{"title":"Slip Ratio Optimization in Vehicle Safety Control Systems Using Least-Squares Based Adaptive Extremum Seeking","authors":"Nursefa Zengin, Halit Zengin, B. Fidan, A. Khajepour","doi":"10.1109/SMC42975.2020.9283109","DOIUrl":null,"url":null,"abstract":"Tire-road friction coefficient is an essential parameter in vehicle safety control systems. In particular, friction information is required by antilock braking systems (ABS) during deceleration and by traction control systems (TCS) during acceleration. The characteristic of the force acting on the tires has an extremum, which is dependent in the road condition. This paper develops a recursive least squares (RLS) based extremum seeking algorithm that estimates the optimum slip ratio on-line to produce maximum deceleration/acceleration. Results of simulation studies in both Matlab and CarSim environments are presented to illustrate the effectiveness of the developed algorithm and numerically compare with gradient based estimation.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"129 11 1","pages":"1445-1450"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMC42975.2020.9283109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Tire-road friction coefficient is an essential parameter in vehicle safety control systems. In particular, friction information is required by antilock braking systems (ABS) during deceleration and by traction control systems (TCS) during acceleration. The characteristic of the force acting on the tires has an extremum, which is dependent in the road condition. This paper develops a recursive least squares (RLS) based extremum seeking algorithm that estimates the optimum slip ratio on-line to produce maximum deceleration/acceleration. Results of simulation studies in both Matlab and CarSim environments are presented to illustrate the effectiveness of the developed algorithm and numerically compare with gradient based estimation.