摘要
基于快速傅里叶逆变换(IFFT)原理对车辆左右车轮随机路面不平度时域激励模型的建立进行了理论分析和探讨.结合实际车辆运行中左右车轮的相干性,给出了右车轮的数值拟合方法.利用Matlab软件建立了左右车轮的路面不平度模型并进行了仿真验证.仿真结果表明此模型可方便准确地对路面分级标准规定的路面进行仿真,所得到的左右车轮的相干性与推荐模型接近.
Based on the theory of inverse fast Fourier transform （IFFT）, the time domain excitation model of left and right tracks is discussed and studied in this research. Considering the coherence of left and right tracks of the vehicle, a method to numerically fitting the right wheel could be given and the excitation of left and right wheels was proposed. The random excitation in time domain model of the left and right tracks was simulated under Matlab environment. Results show that the power spectral density and root mean square obtained from presented method are in good accordance to the classification of road roughness suggested by ISO, and also the coherence of the left and right tracks of the vehicle is in conformity with the recommended model.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2013年第3期257-259,306,共4页
Transactions of Beijing Institute of Technology
基金
国家部委预研项目(1030020220701)
关键词
随机路面
左右车轮
相干函数
功率谱密度
random road profile
the left and right tracks
coherence function
power spectral density
