单轨铁路
转向架
工程类
汽车工程
车辆动力学
跨坐
遗传算法
加速度
汽车操纵
排
模拟
计算机科学
结构工程
控制(管理)
人工智能
经典力学
机器学习
物理
经济
财务
作者
Yongzhi Jiang,Pingbo Wu,Jing Zeng,Yingsheng Zhang,Yunchang Zhang,Shuai Wang
标识
DOI:10.1080/00423114.2019.1566557
摘要
In some researches of vehicle system dynamics, it’s necessary to optimise various of vehicle parameters to meet the requirements of different objectives. In this paper, an articulated monorail dynamic model together with a genetic algorithm is developed to optimise the curving dynamics of the articulated monorail vehicle. The articulated monorail is modelled as a rigid multi-body dynamic model consisting of six car bodies and seven straddle-type bogies, in which each straddle-type bogie is comprised of two driving wheels, four guide wheels and two stable wheels. The Magic tire model is used to model the nonlinearities in the driving wheels, guide wheels and stable wheels. The validity of the proposed monorail vehicle model is demonstrated through comparing the car body acceleration responses with those obtained in a field test. The genetic algorithm considering 50 individuals and the mutation probability of 0.01 is developed and further combined with the monorail vehicle dynamic model to serve as a multi-parameters and objective optimisation platform. This optimisation platform is employed to optimise the suspension parameters in the monorail vehicle to improve the ride comfort of the vehicle and minimise the wheel unload, overturning coefficients and wear generation in the tire.
科研通智能强力驱动
Strongly Powered by AbleSci AI