基于人工鱼群算法的车辆平顺性优化分析  

Vehicle ride comfort analysis and optimization based on artificial fish swarm algorithm

作　　者：范政武[1] 王铁[1] 陈峙[1] 

机构地区：[1]太原理工大学车辆工程系,太原030024

出　　处：《农业工程学报》2016年第6期107-114,共8页Transactions of the Chinese Society of Agricultural Engineering

基　　金：山西省高新技术产业化项目(2011-2368);太原理工大学校基金团队项目(2014TD033)

摘　　要：平顺性是汽车重要特性之一,平顺性优化分析属于组合优化问题,同时其非线性特性导致优化实质上是一个非线性多峰的优化问题,为了有效解决此类复杂优化的求解问题,近年来基于随机搜索优化算法建立了一种新型的人工鱼群算法。该文将人工鱼群算法应用到汽车平顺性优化分析研究中,以某8×4载货车为研究对象,建立9自由度汽车平顺性模型,对影响汽车平顺性的重要参数进行优化分析。优化结果表明,加速度均方根平均下降16.82%,在60 km/h时下降最大,加速度均方根下降21.24%,有效提高了重型车的平顺性能。因此,利用该模型可对汽车平顺性进行预测或评估。Ride comfort is of great importance feature for the heavy truck, its optimization can improve the driver＇s driving conditions to reduce fatigue, and make the goods safer. Primary factors that can influence ride comfort are form and parameters of suspension, which are suspension stiffness, suspension damp and their combination. When the form of suspension is confirmed, more reasonable parameters can be selected by optimization method to improve ride comfort. Ride comfort optimization analysis belongs to the combinatorial optimization problem, at the same time, the nonlinear characteristics in optimization is essentially a nonlinear multimodal optimization problem. In this paper, at first, a ninedegree of freedom vehicle vibration model was established; Vehicle driver seat acceleration simulation tests were conducted with different vehicle speed. Also, both time and frequency domain analysis was implemented with MATLAB software development platform. On the whole, with the increase of the speed of the vehicle, the acceleration root-mean-square of vehicle driver seat became larger, so the vehicle ride comfort performance reduced. Especially at low speed and high acceleration change is more obvious. But in 40~80 km/h, the acceleration change quite gentle. That means to achieve the better economy and the vehicle ride comfort performance, the vehicle speed keeping in a medium speed is better. Based on C level road and the speed of 70 km/h, with an eight by four dump truck as experimental object, the ride comfort tests were conducted, moreover the test results compared with the results of simulation. The compared results showed that the simulation and the test were very close. And then, today technology was coming to a stage of intersection, infiltration, and interaction with multi-subjects. More and more issues on complexity, non-linearity, and system have come to us. To deal with such complexity of system, conventional techniques have become incapable, and to seek an optimization algorithm,which adapt to large-scale

关 键 词：农业机械 模型 优化 平顺性 优化分析 鱼群算法 应用 

分 类 号：U461.4[机械工程—车辆工程]