基于侧翻预警及星鸦优化算法车辆参数辨识的半挂汽车列车防侧翻仿真研究

Research on Anti-rollover Simulation of Semi-trailer Car Train based on Rollover Warning and Vehicle Parameter Identification and Xingya Optimization Algorithm

半挂汽车的载重量大,已经成为现代生活中不可或缺的一种车型,但半挂汽车也因为其质量大,质心高,在转弯等情况时及其容易发生侧翻等危险事故,造成人员和财产上的损失,文章对二次型侧翻预警展开了相关研究,基于二次型侧翻预警结果来展现半挂车辆侧翻的危险程度,建立了三自由度半挂汽车数学模型来展现半挂车辆车辆状态,采用星鸦优化算法对未知的车辆参数进行参数辨识,结果表明辨识后的半挂车三自由度模型能很好的展现车辆的运动状态。

Semi truck has become an indispensable model in modern life due to its large load capacity.However,semi truck is also prone to rollover and other dangerous accidents in turning and other situations due to its large mass and high center of mass,resulting in loss of personnel and property.This paper has carried out relevant research on secondary rollover warning.Based on the result of quadratic rollover warning,a three-degree-of-freedom mathematical model of semi-trailer was established to show the state of semi-trailer vehicle.The unknown vehicle parameters were identified by the algorithm of Nutcracker optimizer.The results showed that the three-degree-of-freedom model of semi-trailer could well show the motion state of the vehicle.