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Linearized longitudinal dynamic model for tractor cruise control system
Liu ZX(刘知祥); Bai XP(白晓平); Wang Z(王卓); Gao L(高雷)
作者部门数字工厂研究室
会议名称10th International Conference on Computer Modeling and Simulation, ICCMS 2018
会议日期January 8-10, 2018
会议地点Sydney, NSW, Australia
会议主办者International Association of Computer Science and Information Technology
会议录名称Proceedings of the 10th International Conference on Computer Modeling and Simulation, ICCMS 2018
出版者ACM
出版地New York
2018
页码221-227
收录类别EI
EI收录号20182905556950
产权排序1
ISBN号978-1-4503-6339-6
关键词Tractor Cruise control system Longitudinal dynamic model Modular Mechanism modeling Inverse model
摘要It is necessary to establish the longitudinal dynamic model of the tractor for the cruise control system to design a fixed speed control algorithm according to the characteristics of the model and the external disturbance characteristics. Aiming at the complexity of the longitudinal power transmission system of the tractor, this paper uses the modular mechanism modeling and the experimental data modeling to establish the longitudinal dynamic model of the tractor. Due to the nonlinearity of the longitudinal dynamics system, the inverse model method is used to linearize the model, which is convenient for the design of control structure and control algorithm of the standard cruise control system. The longitudinal dynamics model is simulated on Simulink, and the model is verified by real vehicle under driving condition. Comparing the simulation data with the experimental data, the results show that the model can accurately reflect the longitudinal dynamics characteristics of tractor, and can meet the requirements for the design of cruise control system.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22118
专题数字工厂研究室
通讯作者Liu ZX(刘知祥)
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences (CAS)
推荐引用方式
GB/T 7714
Liu ZX,Bai XP,Wang Z,et al. Linearized longitudinal dynamic model for tractor cruise control system[C]//International Association of Computer Science and Information Technology. New York:ACM,2018:221-227.
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