抗运动误差的车辆超载检测方法研究与仿真

发布时间：2018-02-23 01:49

本文关键词： 车辆超载检测多频段信号抗运动误差竞争免疫　出处：《计算机仿真》2014年09期 　论文类型：期刊论文

【摘要】：车辆超载检测以静态检测为主。由于汽车超载运动检测过程中,车辆运动往往伴随着包括接触面分离和再附着、非定常涡脱落和高扰动、大比例尺的湍流结构以及弯曲剪切层等复杂现象,使得压力分布发生偏差,造成传统的车辆超载检测方法无法实现动态检测。为此,提出利用多频段信号竞争免疫算法的车辆超载检测方法。采集多频段车辆超载信号,并进行拉普拉斯能量和权重计算,对低频分解结果和高频分解结果进行融合。将竞争机制引入到免疫算法中,获取误差与真实结果的竞争关系,排除动态干扰。实验结果表明,利用改进算法进行抗运动误差的车辆超载检测,能够在汽车运动过程中进行准确的超载检测,提高检测的准确性和实用性。
[Abstract]:In the process of vehicle overload detection, vehicle motion is usually accompanied by separation and reattachment of contact surfaces, unsteady vortex shedding and high disturbance. The large scale turbulence structure and the complex phenomena such as bending shear layer make the pressure distribution deviate, resulting in the traditional vehicle overload detection method can not achieve dynamic detection. A vehicle overload detection method using multi-band signal competitive immune algorithm is proposed. The vehicle overload signals in multi-frequency band are collected and Laplace energy and weight are calculated. The low frequency decomposition results and the high frequency decomposition results are fused. The competition mechanism is introduced into the immune algorithm to obtain the competition relation between the error and the real results, and to eliminate the dynamic interference. The experimental results show that, By using the improved algorithm to detect the overload of vehicles with anti-motion error, the accuracy and practicability of the detection can be improved.
【作者单位】：河南工程学院计算机学院;
【分类号】：U492.31

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