{"title":"The research of an intelligent braking control system","authors":"Guiqiu Song, M. Jiang, G. Zhao","doi":"10.1109/CAIDCD.2006.329330","DOIUrl":null,"url":null,"abstract":"Applies the self-optimizing control to the control strategy of anti-lock braking system (ABS) and adds the braking pressure feedback to the system. The slipping rate change is thus controlled by way of controlling wheel speed and the double circuit of braking pressure. Simulation results prove that the approach to control is not only simple in algorithm but also able to recognize automatically the road surface change so as to provide the most suitable braking torque that serves the function intellectual braking. The shortcomings of conventional of logical thresholds, which were not based on systematic theories but on empirical trial and could not readjust quickly to respond to the change in road surface, are therefore overcome. The self-optimizing control is importance to improving the braking of various cars to ensure their driving safety","PeriodicalId":272580,"journal":{"name":"2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIDCD.2006.329330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Applies the self-optimizing control to the control strategy of anti-lock braking system (ABS) and adds the braking pressure feedback to the system. The slipping rate change is thus controlled by way of controlling wheel speed and the double circuit of braking pressure. Simulation results prove that the approach to control is not only simple in algorithm but also able to recognize automatically the road surface change so as to provide the most suitable braking torque that serves the function intellectual braking. The shortcomings of conventional of logical thresholds, which were not based on systematic theories but on empirical trial and could not readjust quickly to respond to the change in road surface, are therefore overcome. The self-optimizing control is importance to improving the braking of various cars to ensure their driving safety