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七自由度整车半主动悬架仿真研究
引用本文:王孝鹏,刘建军,吴 龙.七自由度整车半主动悬架仿真研究[J].湖南工业大学学报,2016,30(6):12-17.
作者姓名:王孝鹏  刘建军  吴 龙
作者单位:三明学院 机电工程学院;机械现代设计制造技术福建省高校工程研究中心;绿色铸锻及其高端零部件制造福建省2011协同创新中心;福建省铸锻零部件工程技术研究中心,三明学院 机电工程学院;机械现代设计制造技术福建省高校工程研究中心,三明学院 机电工程学院;机械现代设计制造技术福建省高校工程研究中心
基金项目:福建省省属高校科研专项基金资助项目(JK2014048)
摘    要:通过MATLAB软件建立整车七自由度的动力学仿真模型。半主动悬架采用双模糊控制器,将计算出的刚性车身与悬架连接处的速度、动行程与俯仰角参数作为主动悬架控制的输入量;前轴左右车轮,悬架与车身连接处的速度与其期望值的误差及其变化率作为第一控制力输入量,刚性车身质心俯仰角速度与其期望值的误差及其变化率作为第二控制力输入量;后轴左右车轮,车悬架与车身连接处的速度与其期望值的误差及其变化率作为第一控制力输入量,悬架动行程与其期望值的误差及其变化率作为第二控制力输入量。计算结果表明:采用双模糊控制器能明显改善整车行驶的舒适性与稳定性,系统综合特性较好,刚性车身的垂向加速度、俯仰角加速度、前后悬架动行程性能提升明显,分别提升27.2%,19.6%,95.5%,33.8%。

关 键 词:七自由度  半主动悬架  双模糊控制
收稿时间:2016/8/15 0:00:00

A Simulation Research on Seven DOF Semi-Active Full Vehicle Suspension
WANG Xiaopeng,LIU Jianjun and WU Long.A Simulation Research on Seven DOF Semi-Active Full Vehicle Suspension[J].Journal of Hnnnan University of Technology,2016,30(6):12-17.
Authors:WANG Xiaopeng  LIU Jianjun and WU Long
Abstract:A dynamic simulation model of seven DOF full vehicle has been established by using MATLAB software. By adopting the dual mode fuzzy controller as the semi-active suspension, the velocity of rigid body and suspension joints, as well as the input quantity, with the dynamic displacement and pitch angle parameters being the active suspension control, are to be worked out. The front left and right wheels are to take the error between the speed of the connection linking the suspension and the body and the expected value, as well as its rate of change, as the input quantity of the first control force, and to take the error between the angular velocity of the rigid body and the expected value, as well as its rate of change, as the input quantity of the second control force. The rear left and right wheels are to take the error between the speed of the connection linking the suspension and the body and the expected value, as well as its rate of change, as the input quantity of the first control force, and to take the error between the suspension working space and the expected value, as well as its rate of change, as the input quantity of the second control force. The numerical results of the simulation show that the adoption of the dual fuzzy controller helps to greatly improve the ride comfort and stability in vehicle driving, with a better performance exhibited in the comprehensive system, and with a significant increase as high as 27.2% in the rigid body vertical acceleration, 19.6% in the pitch angular acceleration, 95.5% in the dynamic travel performance of the front suspension, and 33.8% in the dynamic travel performance of the rear suspension, respectively.
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