{"title":"汽车四轮对中参数获取技术研究","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":"{\"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}","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}
A Technical Research on Parameters Acquisition of Automotive Four-wheel Alignment
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.