分类
理论(学习稳定性)
遗传算法
灵敏度(控制系统)
多目标优化
工程类
集合(抽象数据类型)
点(几何)
航程(航空)
排名(信息检索)
分叉
数学优化
数学
算法
非线性系统
计算机科学
人工智能
几何学
机器学习
物理
量子力学
电子工程
程序设计语言
航空航天工程
作者
Feng Xiao,Jianjun Hu,Zhiqiang Lin,Ruiyan Luo
标识
DOI:10.1016/j.apm.2022.12.019
摘要
The main structural parameters that affect vehicle bifurcation characteristics and the safe basin are obtained, with the goal of improving the stability. First, the distribution of the system equilibrium points in three-dimensional space is studied, and the bifurcation characteristics of the front steering angles are obtained. Second, the front steering angle range corresponding to the bifurcation point (FSAR-BP) and the safe basin of the system (SBS) are determined and used as optimization objective functions. Considering the influence of the structural parameters on the FSAR-BP and SBS, a sensitivity analysis of the parameters is performed to establish their importance ranking in terms of their influence on the FSAR-BP and SBS. Third, a non-dominated sorting genetic algorithm II (NSGA-II) is utilized to optimize the parameters, and the competitive Pareto parameter optimization solution sets are obtained. Finally, the three solution sets with better comprehensive performance are selected for comparison with the pre-optimized set in the FSAR-BP and SBS. The results indicate that the optimized FSAR-BP increased by 218.81%, 237.83%, and 267.88%, and the optimized SBS increased by 207.52%, 197.06%, and 173.93%, respectively.
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