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为满足线控转向系统实时路感信息模拟与反馈需求，提出一种基于模糊PID算法的路感控制策略。建立了Simulink与CarSim汽车线控转向系统整车模型，采用动力学方法求解车辆转向过程受力情况以获取目标路感力矩，进而基于模糊规则改进PID算法，建立模糊PID控制器实现对路感力矩的准确输出。CarSim/Simulink联合仿真验证结果表明，所设计的模糊PID路感控制策略能够使线控转向系统代替机械转向系统，并且相较于传统的PID控制算法更能有效反馈路感信息，在保证低速转向轻便性的同时满足高速转向的路感清晰性。
Abstract：To meet the real-time road feel simulation and feedback requirements of the steer-by-wire system, this study proposes a road feel control strategy based on a fuzzy PID algorithm. First, a full vehicle model of the steer-by-wire system is established using Simulink and CarSim, providing the foundation for subsequent research. Next, dynamic analysis is employed to calculate the force conditions during the vehicle′s steering process, thereby obtaining the target road feel torque. Then a fuzzy PID controller is established based on fuzzy rules to ensure accurate output of the road feel torque. Finally, joint simulation verification was conducted using CarSim and Simulink. The results show that the designed fuzzy PID road feel control strategy enables the steer-by-wire system to replace the mechanical steering system. Compared with the traditional PID control algorithm, the fuzzy PID controller more effectively feeds back the road feel information, ensuring the light steering at low speeds while maintaining clear road feedback at high-speed steering.
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基本信息:
DOI：10.13367/j.cnki.sdgc.2026.01.003
中图分类号:TP273;U463.4
引用信息:
[1]洪茜.基于模糊PID的路感控制策略研究[J].山东理工大学学报(自然科学版),2026,40(01):26-32.DOI:10.13367/j.cnki.sdgc.2026.01.003.