基于模糊PID的半主动悬架控制策略研究  

Research on Semi-Active Suspension Control Strategy Based on Fuzzy PID

作　　者：赵剑桥 严天一[1] 桂永建 赵培通 ZHAO Jianqiao;YAN Tianyi;GUI Yongjian;ZHAO Peitong(College of Mechanical and Electrical Engineering,Qingdao University,Qingdao 266071,China)

机构地区：[1]青岛大学机电工程学院,山东青岛266071

出　　处：《青岛大学学报（工程技术版）》2023年第3期54-58,共5页Journal of Qingdao University(Engineering & Technology Edition)

基　　金：国家自然科学基金资助项目(5147524);山东省自然科学基金面上项目(ZR2016EEM49)。

摘　　要：针对传统被动悬架平顺性不足的问题,本文研究了基于模糊PID的半主动悬架控制策略。通过CarSim软件建立某C级轿车的整车模型,基于模糊PID控制原理在Simulink中设计控制器并配置相关参数,建立基于滤波白噪声的路面模型,并将其载入CarSim软件。通过在CarSim中设置数据输入、输出仿真端口,将车辆模型运行数据通过S-Function模块发送到Simulink中求解控制信号,再通过S-Function模块施加到CarSim中,形成闭环控制系统,最后进行联合仿真试验验证模糊PID控制算法的有效性。仿真结果表明,配置有模糊PID控制器的半主动悬架明显改善了车辆的平顺性。该研究具有广阔的应用前景。Aiming at the problem of insufficient ride comfort of traditional passive suspension,this paper studies a semi-active suspension control strategy based on fuzzy PID.It establishes a complete vehicle model of a C-class car through CarSim software,designs a controller and configures relevant parameters in Simulink based on the fuzzy PID control principle,establish a road model based on filtered white noise,and loads it into CarSim software.By setting data input and output simulation ports in CarSim,the vehicle model operation data is sent to Simulink through the S-Function module to solve the control signal,and then applied to CarSim through the S-Function module to form a closed-loop control system.Finally,a joint simulation test is conducted to verify the effectiveness of the fuzzy PID control algorithm.The simulation results show that the semi active suspension equipped with a fuzzy PID controller significantly improves the ride comfort of the vehicle.The experimental results demonstrate the feasibility of the fuzzy PID controller applied to semi active suspension in improving vehicle ride comfort.

关 键 词：CARSIM 半主动悬架 模糊PID控制 联合仿真 

分 类 号：U463.1[机械工程—车辆工程]