{"title":"A Technical Research on Parameters Acquisition of Automotive Four-wheel Alignment","authors":"Mengyao Pan, Shaowei Chen, Feng Wang, Ruitie Huan, Xiaoyong Lv, Yuqing Liu","doi":"10.1145/3421766.3421857","DOIUrl":null,"url":null,"abstract":"Four-wheel alignment parameters are important indexes to promise handling stability when automobile drives in straight line. Aiming at the problems of traditional four-wheel alignment measurement - kingpin inclination angle and kingpin caster angle are calculated indirectly and approximately by geometrical relationship, which cannot be measured directly or have large measurement error, etc. This paper proposes a new technique to obtain the four-wheel alignment parameters by means of installing an intelligent triple-axis acceleration sensor unit on the wheel to make inertia measurement on wheel alignment angle so as to establish a brand new four-wheel alignment attitude parameter calculation model to acquire four-wheel alignment parameters. The new technique proposed here can establish a four-wheel alignment parameters calculation model to acquire the parameters through installing an intelligent triple-axis acceleration sensor unit on the wheel. The experiment results indicate that under experimental conditions, the indication error of wheel alignment parameter (γwi, αwi, γki, θki) is (-0.01°, 0.00°, -0.65°, -0.31°), and the indication variance is (0.45°, 0.63°, 1.00°, 0.49°). This new technique is able to test the four-wheel alignment parameters quickly, dynamically and accurately, achieve a better measurement accuracy on performance index, and realize expected effect.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3421766.3421857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Four-wheel alignment parameters are important indexes to promise handling stability when automobile drives in straight line. Aiming at the problems of traditional four-wheel alignment measurement - kingpin inclination angle and kingpin caster angle are calculated indirectly and approximately by geometrical relationship, which cannot be measured directly or have large measurement error, etc. This paper proposes a new technique to obtain the four-wheel alignment parameters by means of installing an intelligent triple-axis acceleration sensor unit on the wheel to make inertia measurement on wheel alignment angle so as to establish a brand new four-wheel alignment attitude parameter calculation model to acquire four-wheel alignment parameters. The new technique proposed here can establish a four-wheel alignment parameters calculation model to acquire the parameters through installing an intelligent triple-axis acceleration sensor unit on the wheel. The experiment results indicate that under experimental conditions, the indication error of wheel alignment parameter (γwi, αwi, γki, θki) is (-0.01°, 0.00°, -0.65°, -0.31°), and the indication variance is (0.45°, 0.63°, 1.00°, 0.49°). This new technique is able to test the four-wheel alignment parameters quickly, dynamically and accurately, achieve a better measurement accuracy on performance index, and realize expected effect.