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车辆底盘集成控制研究
引用本文:李刚,宗长富,张泽星,段明序,梁赫奇,洪伟. 车辆底盘集成控制研究[J]. 上海交通大学学报, 2012, 46(8): 1291-1296
作者姓名:李刚  宗长富  张泽星  段明序  梁赫奇  洪伟
作者单位:(1. 吉林大学 汽车仿真与控制国家重点实验室,长春 130025; 2. 辽宁工业大学 汽车与交通工程学院,辽宁 锦州 121001; 3. 中国第一汽车集团公司技术中心,长春 130011)
基金项目:吉林大学汽车仿真与控制国家重点实验室开放基金(20111104);国家青年自然基金(51105165);辽宁工业大学科研基金(201108)资助项目
摘    要:基于模型预测控制理论,从提高车辆极限工况稳定性角度,研究车辆纵向和侧向运动的水平集成控制及纵向、侧向和垂向的全局集成控制.确定了分层集成控制结构,设计了转向/制动模型预测控制器和主动悬架控制器.采用单轮规则制动分配法,实现了车辆底盘转向/制动的水平集成控制和转向/制动/悬架的全局集成控制,并通过仿真实验对算法进行验证.结果表明:集成控制能有效提高车辆极限工况的稳定性和主动安全性.

关 键 词:车辆底盘   集成控制     模型预测控制   极限工况   稳定性  
收稿时间:2011-10-17

Study on Vehicle Chassis Integrated Control
LI Gang,ZONG Chang-fu,ZHANG Ze-xing,DUAN Ming-xu,LIANG He-qi,HONG Wei. Study on Vehicle Chassis Integrated Control[J]. Journal of Shanghai Jiaotong University, 2012, 46(8): 1291-1296
Authors:LI Gang  ZONG Chang-fu  ZHANG Ze-xing  DUAN Ming-xu  LIANG He-qi  HONG Wei
Affiliation:(1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China;  2. College of Automotive and Transportation Engineering, Liaoning University of Technology, Jinzhou 121001, China; 3. China FAW Group Corporation. R&D Center, Changchun 130011, China)
Abstract:For enhancing the vehicle stability in the extreme conditions, the vehicle horizontal integrated control of longitudinal and lateral movement ant the overall integrated control of longitudinal, lateral and vertical improvement were studied based on the model predictive control theory. The hierarchical integrated control structure was determined. The steering/braking model predictive controller and active suspension controller were disigned. The single wheel braking force allocation method was used. It achieves the steering/braking horizontal integrated control and the steering/braking/suspension overall integrated control. The simulation test was used to verify the algorithm. The result shows that the integrated control can enhance the vehicle stability and active safety effectively in the extreme conditions.
Keywords:vehicle chassis  integrated control  model predictive control  the extreme conditions  stability  
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