整车磁流变半主动悬架控制策略研究  

Research on control strategy of vehicle magnetorheological semi-active suspension

作　　者：于志委 夏菁 邓华 YU Zhi-wei;XIA Jing;DENG Hua(School of Automotive and Information Engineering,Guangxi Ecological Engineering Vocational and Technical College,Liuzhou 545000,China;Liuzhou Husin Automotive Technology Co,Ltd,Liuzhou 545000,China)

机构地区：[1]广西生态工程职业技术学院汽车与信息工程学院,广西柳州545000 [2]柳州沪信汽车科技有限公司,广西柳州545000

出　　处：《磁性材料及器件》2023年第4期80-86,共7页Journal of Magnetic Materials and Devices

基　　金：广西生态工程职业技术学院校级项目(2019KY15)。

摘　　要：针对磁流变阻尼器复杂的非线性和整车悬架系统耦合控制的难点,结合磁流变阻尼器迟滞特性,采用通用性好的Spencer现象模型建立正向模型,结合映射能力强的BP神经网络构建磁流变阻尼器逆模型;接着采用不需要精确模型的模糊算法和强鲁棒性滑模算法建立整车七自由度磁流变悬架控制器,对车辆悬架系统进行控制。仿真结果表明:建立的磁流变阻尼器逆模型能够准确反馈输入控制电流,且基于Spencer现象模型的整车磁流变阻器结合所提出的控制算法进行仿真控制,其整车性能指标显著提升。Aiming at the complex nonlinearity of the magnetorheological damper and the difficulty of coupling control of the vehicle suspension system,combined with the hysteresis characteristics of the magnetorheological damper,the Spencer phenomenon model with good versatility is used to establish a forward model,and then combined with the BP with strong mapping ability.The inverse model of the magnetorheological damper is constructed by neural network.Then,the fuzzy algorithm and strong robust sliding mode algorithm are used to establish the vehicle seven-degree-of-freedom magnetorheological suspension controller to control the vehicle suspension system.The simulation results show that the established inverse model of the magnetorheological damper can accurately feedback the input control current,and the vehicle magnetorheological rheostat based on the Spencer phenomenon model is simulated and controlled by the proposed control algorithm,and the vehicle performance index is significantly improved.

关 键 词：半主动悬架 磁流变阻尼器 神经网络 逆向模型 模糊滑模控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]