基于SA-PSO算法的履带车辆多工况振动优化控制研究  

Research on Optimization of Vibration Control of Tracked Vehicles Under Multiple Working Conditions Based on SA-PSO Algorithm

作　　者：褚艳涛 鲍珂[1] 杨征葳 CHU Yantao;BAO Ke;YANG Zhengwei(China North Vehicle Research Institute,Beijing 100072,China)

机构地区：[1]中国北方车辆研究所,北京100072

出　　处：《车辆与动力技术》2023年第2期7-13,共7页Vehicle & Power Technology

摘　　要：为提高履带车辆整车行驶平顺性,提出一种基于模拟退火和粒子群混合的智能算法的履带车辆半主动悬架控制策略.首先建立履带车辆的刚柔耦合动力学模型,然后基于天棚控制理论搭建半主动悬架控制模型,最后利用混合智能算法对天棚控制的参数进行寻优.结果表明,优化后的控制参数可显著提高整车的平顺性,证明所提方法的有效性.In order to improve the ride comfort and stability of the tracked vehicle,a semi-active suspension control strategy based on an intelligent algorithm of Simulated Annealing and Particle Swarm(SA-PSO)hybridization is proposed.Firstly,the rigid-flexible coupling dynamic model of the tracked vehicle is established.Then the semi-active suspension control model is built based on the skyhook control theory.Finally,the parameters of skyhook control are optimized using the hybrid intelligent algorithm.The results show that the optimized control parameters can significantly improve the stability of the vehicle,which proves the effectiveness of the proposed method.

关 键 词：混合智能算法 半主动悬挂 天棚控制 优化设计 

分 类 号：TH122[机械工程—机械设计及理论]