YUAN Chuan-yi, LIU Cheng-ye, BEI Shao-yi. Self-adaptive fuzzy control and experimental research of vehicle active suspension[J]. 2010, 29(8): 15-18+22.
YUAN Chuan-yi, LIU Cheng-ye, BEI Shao-yi. Self-adaptive fuzzy control and experimental research of vehicle active suspension[J]. 2010, 29(8): 15-18+22. DOI: 10.13873/j.1000-97872010.08.002.
车辆主动悬架模糊自适应控制与试验研究
摘要
建立了整车主动悬架系统动力学模型
为适应车辆运行道路多变的需求
在后轮处以路面激励变化和车身姿态作为自适应模糊控制系统的输入
设计了主动悬架模糊自适应控制系统。为验证控制系统的有效性
分别进行了随机路面输入和正弦波凸起输入的仿真计算和实车道路试验。结果表明:相对于传统的被动悬架系统
模糊自适应控制主动悬架系统车辆的质心垂直加速度峰值和标准差都有较大幅度降低;在人体敏感的频段
车身震动能量也有所下降;当车辆经过限速带时
左后轮车身加速度也有明显降低
较好提高了汽车的行驶平顺性。
Abstract
The full-car active suspension model was established to meet the changing needs of the road for vehicle running
road excitation change and car body posture were used as inputs of self adaptive fuzzy control system at rear wheel
self adaptive fuzzy control system of active suspension was designed.To verify the effectiveness of the control system
the simulation and road test of random road input and sine wave input were carried out.The results show that compared to the traditional suspension system
the peak and standard deviation of vehicle mass vertical acceleration decreased significantly
body vibration energy has declined within sensitive frequency bands in the human body
the rear body acceleration also decreased while the vehicle passing through the speed limit zone and the ride comfortly was distinctly improved.
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references
A Novel Energy-regenerative Active Suspension for Vehicles [J]. 郑雪春,喻凡,张勇超. Journal of Shanghai Jiaotong University(Science) . 2008(02)
Design of nonlinear controllers for active vehicle suspension with state constraints [J] . Genta Makihara,Masahiro Yokomichi,Michio Kono. Artificial Life and Robotics . 2008 (1)