| 基于自适应神经模糊网络的路面识别技术 |
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| 引用本文： | 秦也辰,管继富,顾亮,李毅,刘锐.基于自适应神经模糊网络的路面识别技术[J].北京理工大学学报,2015,35(5):481-484,489. |
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| 作者姓名： | 秦也辰 管继富 顾亮 李毅 刘锐 |
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| 作者单位： | 北京理工大学 机械与车辆学院,北京,100081;内蒙古第一机械集团有限公司,内蒙古,包头 014032 |
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| 摘 要： | 以路面识别为目的,利用自适应神经模糊网络(ANFIS)进行路面不平度激励时域估测研究. 首先建立车辆1/4模型运动微分方程,并使用白噪声信号激励车辆模型,利用激励产生的模型动力学响应进行自适应神经模糊系统训练. 之后对训练获得的逆向车辆动力学模型进行分析并利用随机路面激励产生的系统响应进行随机路面时域估测. 最后对自适应神经模糊网络系统隶属函数个数及输入数据组合进行分析比较. 仿真结果显示,自适应模糊神经网络系统能够以较高的精度完成路面时域估测.
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| 关 键 词： | 自适应神经模糊网络 路面识别 时域估测 路面不平度 |
| 收稿时间： | 2013/9/18 0:00:00 |
Road Profile Input Estimation Using Adaptive-Neuro Fuzzy Inference System |
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| QIN Ye-chen,GUAN Ji-fu,GU Liang,LI Yi and LIU Rui.Road Profile Input Estimation Using Adaptive-Neuro Fuzzy Inference System[J].Journal of Beijing Institute of Technology(Natural Science Edition),2015,35(5):481-484,489. |
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| Authors: | QIN Ye-chen GUAN Ji-fu GU Liang LI Yi and LIU Rui |
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| Institution: | 1.School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China2.Inner Mongolia First Machinery Group Co. Ltd., Baotou, Inner Mongolia 014032, China |
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| Abstract: | Based on adaptive neuro fuzzy inference system(ANFIS), a time domain estimation for road profile input was presented. Differential equations of quarter vehicle model were created, and white noise signal was employed to stimulate the model and the dynamic response was used to train the inverse dynamic model with ANFIS. In the simulation, different kinds of random excitations were used to verify the accuracy of ANFIS, and the effect of the number of membership function and combination of input data were also discussed. The result shows that ANFIS can be used for road estimation and its time domain reproduction. |
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| Keywords: | adaptive neuro fuzzy inference system (ANFIS) road estimation time domain estimation road profile |
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