磁流变阻尼器悬架的一种半主动控制策略

A Semi-Active Control Strategy of MR Damper Suspension

采用自适应神经模糊推理系统(ANFIS)建立磁流变阻尼器的逆向模型。综合考虑车辆行驶平顺性和操作稳定性,在结合天棚、地棚阻尼控制和T-S型模糊系统特点的基础上,提出了一种模糊混合控制策略。在MATLAB/Simulink中分别建立磁流变阻尼器模型、逆向模型、模糊混合控制器和随机路面激励,与ADAMS/View中建立的1/4车辆悬架模型进行联合仿真。联合仿真的结果表明:与天棚控制、地棚控制相比,模糊混合控制策略有效地改善了簧载质量加速度、悬架动行程和轮胎动变形。

An adaptive neuro fuzzy inference system（ ANFIS） was used to establish the inverse model of magneto rheological（ MR） damper. With the overall consideration of vehicle ride comfort and handling stability,a fuzzy hybrid control strategy was proposed on the premise of the characteristics of the damper control of skyhook and groundhook as well as fuzzy TS system. In MATLAB / Simulink,the MR damper model,the inverse model,the fuzzy hybrid controller and the random road excitation were established respectively,and they were co-simulated with the one quarter vehicle suspension model that was built in ADAMS / View. The results of co-simulation indicate that the fuzzy hybrid control strategy could improve the sprung mass acceleration,suspension dynamic travel and tire dynamic deformation effectively,comparing with the control strategy of skyhook and groundhook.