基于自适应模糊PI的汽车直接摆力矩控制研究  

Study on vehicle direct yaw moment control based on adaptive fuzzy PI

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作  者:王超[1] 石晶[1] 李刚[1] 

机构地区:[1]辽宁工业大学汽车与交通工程学院,辽宁锦州121001

出  处:《汽车实用技术》2015年第1期73-75,81,共4页Automobile Applied Technology

基  金:辽宁省教育厅项目(L2013253)

摘  要:针对汽车直接横摆力矩控制,论文研究了基于自适应模糊PI的控制方法。设计了基于自适应模糊PI的附加横摆力矩决策控制器和基于规则分配的制动力分配器。横摆力矩决策控制器根据汽车横摆角速度期望值和车辆状态决策出所需的附加横摆力矩,通过规则制动力分配方法进行主动差动制动实现,并采用Matlab/Simulink与CarSim联合仿真对控制方法进行仿真试验验证。结果表明:基于自适应模糊PI的横摆力矩控制方法相对于未控制能够使汽车较好地跟踪期望,有效提高汽车操纵稳定性。For the vehicle direct yaw moment control, adaptive fuzzy PI control is studied in this paper. The additional yaw moment decision controller based on fuzzy PI and braking forces distribution controller based on rules are designed in the paper. According to the reference of vehicle model and the vehicle actual state, the additional yaw moment decision controller can compute additional yaw moment required. The controller is achieved by active differential braking based on the braking forces distribution rules. The control method is verified by using Matlab/Simulink and CarSim co-simulation. The results show that yaw moment control based on adaptive fuzzy PI control makes the vehicle follow the desired values better and enhance the vehicle stability compared with no control.

关 键 词:直接横摆力矩控制 自适应模糊PI控制 制动力分配 行驶稳定性 

分 类 号:U461.6[机械工程—车辆工程]

 

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