Zhongshan Wang, Wenxing Ma, Tongjian Wang, Chongxing Liu
{"title":"Body Leveling Control Model Establishment and Experiment Analysis","authors":"Zhongshan Wang, Wenxing Ma, Tongjian Wang, Chongxing Liu","doi":"10.13031/aea.14501","DOIUrl":null,"url":null,"abstract":"Highlights The vehicle body leveling control model based on tire stiffness and wheel centroid displacement is established in this article.The average pitch angle error is 7.94%, and the tilt angle average error is 4.37%.The body leveling control algorithm developed based on this model can be applied to the automatic leveling control of hilly tractors and cars.Abstract. The body leveling control system is the core part of the attitude control of the hilly mountain tractor. It calculates the body posture in real-time according to the body leveling control model and makes corresponding control strategies. The accuracy of the control model directly affects the vehicle leveling accuracy. This article proposes the leveling control model based on tire stiffness and tire mass displacement. The slope road surface excitation information is collected in the field, and the road surface excitation data is processed appropriately. The accurate road surface excitation information is obtained. The input of the simulation model is displacement data. However, the collected road excitation information is the acceleration signal. Thus, the acceleration signal is converted to the displacement signal through the frequency domain integration method. The comparison between the calculated calculation results and the experimentally acquired attitude data indicates that the average pitch angle error is 7.94%, and the average tilt angle error is 4.37%. Accordingly, the vehicle body leveling control model established in this article is compatible with the experimental results and can accurately output the body posture and develop the body tone. Keywords: Control, Hydraulic, Leveling, Pavement, Road","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Engineering in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.13031/aea.14501","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 1
Abstract
Highlights The vehicle body leveling control model based on tire stiffness and wheel centroid displacement is established in this article.The average pitch angle error is 7.94%, and the tilt angle average error is 4.37%.The body leveling control algorithm developed based on this model can be applied to the automatic leveling control of hilly tractors and cars.Abstract. The body leveling control system is the core part of the attitude control of the hilly mountain tractor. It calculates the body posture in real-time according to the body leveling control model and makes corresponding control strategies. The accuracy of the control model directly affects the vehicle leveling accuracy. This article proposes the leveling control model based on tire stiffness and tire mass displacement. The slope road surface excitation information is collected in the field, and the road surface excitation data is processed appropriately. The accurate road surface excitation information is obtained. The input of the simulation model is displacement data. However, the collected road excitation information is the acceleration signal. Thus, the acceleration signal is converted to the displacement signal through the frequency domain integration method. The comparison between the calculated calculation results and the experimentally acquired attitude data indicates that the average pitch angle error is 7.94%, and the average tilt angle error is 4.37%. Accordingly, the vehicle body leveling control model established in this article is compatible with the experimental results and can accurately output the body posture and develop the body tone. Keywords: Control, Hydraulic, Leveling, Pavement, Road
期刊介绍:
This peer-reviewed journal publishes applications of engineering and technology research that address agricultural, food, and biological systems problems. Submissions must include results of practical experiences, tests, or trials presented in a manner and style that will allow easy adaptation by others; results of reviews or studies of installations or applications with substantially new or significant information not readily available in other refereed publications; or a description of successful methods of techniques of education, outreach, or technology transfer.