1. 苏州大学 机电工程学院,江苏,苏州,215131
2. 常熟理工学院 机构 汽车工程学院,江苏常熟,215500
[ "刘竹星,硕士研究生," ]
[ "陈庆樟,教授,博士," ]
纸质出版:2025
移动端阅览
刘竹星, 陈庆樟, 王耀, 等. 分布式驱动车辆线控转向系统控制策略研究[J]. 机械科学与技术, 2025,44(6):1072-1079.
刘竹星, 陈庆樟, 王耀, et al. Research on Steer-by-wire Control Strategy of Distributed Driving Vehicle[J]. Mechanical Science and Technology for Aerospace Engineering, 2025, 44(6): 1072-1079.
刘竹星, 陈庆樟, 王耀, 等. 分布式驱动车辆线控转向系统控制策略研究[J]. 机械科学与技术, 2025,44(6):1072-1079. DOI: 10.13433/j.cnki.1003-8728.20230273.
刘竹星, 陈庆樟, 王耀, et al. Research on Steer-by-wire Control Strategy of Distributed Driving Vehicle[J]. Mechanical Science and Technology for Aerospace Engineering, 2025, 44(6): 1072-1079. DOI: 10.13433/j.cnki.1003-8728.20230273.
传统电动车改装分布式驱动(4WID)后,车辆非簧载质量增加,其转向阻尼和转向惯性增大,进而导致线控转向响应速度和精度变差。针对上述问题,以北汽EV150为例,介绍了一种线控转向控制器设计方案,并完成实车的改装和控制器的安装,旨在提高改装车辆的转向响应速度和精度的基础上,为原车提供线控转向能力。车辆改装后采用双电机助力、双控制器协调控制。以助力矩与阻力矩的差值作为控制器输入,采用模糊自适应PID控制器计算补偿力矩,旨在控制附加电机输出补偿转矩以抵消增大的转向阻力。基于CARSIM和MATLAB进行联合仿真,并进行实车试验,对比研究了普通PID控制和自适应模糊PID控制的响应速度和精度。仿真和试验结果表明:控制器可满足4WID车辆转向需求,且相比普通PID控制下的单电机线控转向系统,基于模糊PID控制的双电机转向系统响应更快,精度更高。
Once the traditional electric vehicle was refitted with distributed drive (4WID) system
the increasing of vehicle's unspring mass would significantly increase the steering resistance
as a result of that
the efficiency and accuracy of the original car's steer-by-wire (SBW) system will be reduced. In order to solve this problem
taking BAIC-EV150 for example
this paper introduced a design of SBW controller for 4WID vehicles
and the corresponding refitting work of real vehicle were completed. The refitted vehicle adopted dual-motor
dual-controller to coordinate control. The difference value between the auxiliary torque and the resistance moment were token as the input of the controller. An adaptive fuzzy PID controller was used to calculate the compensation torque
aiming at controlling the additional motor output compensation torque to offset the increased steering resistance. Based on the joint simulation of CARSIM and MATLAB
the real vehicle test was carried out consequently
during which the response speed and precision of ordinary PID control and adaptive fuzzy PID control are compared. Simulation and experimental results show that the controller can meet the requirements of 4WID vehicle steering
and the dual-motor steering system based on fuzzy PID control is more responsive and more accurate than the single-motor steering system which under ordinary PID control.
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