电动汽车悬架系统控制与材料表面裂缝激光熔覆修复方法  

Electric Vehicle Suspension System Control and Laser Cladding Repair Method for Material Surface Cracks

作　　者：陈正科 詹慧贞[1] Chen Zhengke;Zhan Huizhen(Intelligent Manufacturing Department of Jiang Xi University of Technology,Nanchang,Jiangxi 330098,China)

机构地区：[1]江西科技学院智能工程学院,江西南昌330098

出　　处：《应用激光》2022年第6期29-35,共7页Applied Laser

基　　金：江西省教育厅科学技术研究项目(GJJ202012);江西省自然科学基金(202151043544);2021年度江西省教育厅科技项目(GJJ212009)。

摘　　要：由于电动汽车悬架系统控制的效果较差,且未能对材料表面裂缝进行提取,故降低了裂缝修复完整度和效果。因此,提出电动汽车悬架系统控制与材料表面裂缝激光熔覆修复方法。首先构建电动汽车的动力学模型,并对悬架性能进行分析,在此基础上设计LQG控制器,实现悬架系统的控制。利用泛洪填充算法提取材料表面的裂缝目标,并对裂缝的高度和宽度进行计算,采用神经网络构建激光熔覆修复模型,完成材料表面裂缝的修复。试验结果表明,所提方法具有良好的控制效果,且裂缝修复完整度高、效果好。Due to the poor control effect of electric vehicle suspension system and the failure to extract material surface cracks,in order to reduce the integrity and effect of crack repair,the control of electric vehicle suspension system and laser cladding repair method of material surface cracks are proposed.Firstly,the dynamic model of electric vehicle is constructed,and the suspension performance is analyzed.Based on this,LQG controller is designed to realize the control of suspension system.The flood filling algorithm is used to extract the crack target on the material surface,and the height and width of the crack are calculated.An neural network is used to construct the laser cladding repair model to complete the repair of the crack on the material surface.Experimental results show that the proposed method has good control effect,high integrity and good effect.

关 键 词：电动汽车 悬架控制 裂缝修复 神经网络 激光熔覆 

分 类 号：TG156[金属学及工艺—热处理]