The invention discloses a road surface identification and intelligent control method and system based on a nonlinear vehicle active suspension, and the method comprises the steps: extracting road surface information through designing an extended Kalman filter considering unknown input, and carrying out the elevation identification of a road surface; according to a road surface elevation identification result, the road surface elevation statistical characteristics are used as input parameters based on an adaptive fuzzy neural network system ANFIS, output parameters are road surface grades, and identification of the road surface grades is completed; road surface types are divided according to road surface grades, and different working modes are adopted for the active suspension according to different road surface types; control parameters in different working modes are designed, and a control parameter design process is a parameter optimization process in a constraint range by taking an optimization function as a target function and adopting a group optimization algorithm; and outputting a control signal to the active suspension according to the ideal suspension force. According to the method, the pavement elevation and grade identification of the nonlinear active suspension can be realized, and the intelligent switching and control of the working modes of the active suspension can also be realized.
本发明公开了一种基于非线性车辆主动悬架的路面识别与智能控制方法及系统,通过设计考虑未知输入的扩展卡尔曼滤波器提取路面信息,进行路面高程识别;根据路面高程识别结果,将路面高程统计特征作为基于自适应模糊神经网络系统ANFIS的输入参数,输出参数为路面等级,完成对路面等级的识别;根据路面等级对路面类型进行划分,针对不同的路面类型主动悬架采用不同的工作模式;对不同工作模式下的控制参数进行设计,控制参数设计过程为以优化函数为目标函数,采用群优化算法进行约束范围内的参数寻优过程;根据理想悬架力输出控制信号到主动悬架。本方法既能够实现非线性主动悬架路面高程与等级识别,还能实现对主动悬架工作模式的智能切换及控制。
Road surface recognition and intelligent control method and system based on nonlinear vehicle active suspension
一种基于非线性车辆主动悬架的路面识别与智能控制方法及系统
2024-04-12
Patent
Electronic Resource
Chinese
IPC: | B60G VEHICLE SUSPENSION ARRANGEMENTS , Radaufhängungen und Federungen für Fahrzeuge |
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