基于遗传算法对液压阀用磁流变液阻尼器的优化设计
杨智超，邓斌
（西南交通大学 先进驱动节能技术教育部工程研究中心，四川 成都 610031）
摘要：为了保证所设计的液压阀用磁流变液阻尼器（MRD）能够实现降低、调节换向阀换向时所带来的液压冲击的设计目标，根据其使用工况和设计要求对MRD进行了结构优化。首先在MATLAB软件里利用遗传算法工具箱对影响其输出阻尼力大小的两个关键结构参数——阻尼间隙宽度和有效阻尼通道长度进行优化；然后利用优化结果对各个MRD在Maxwell软件里进行电磁场仿真分析,再利用电磁场仿真分析所得的结果在Simulink软件建立各个MRD的阻尼力模型计算；最后根据计算结果选择最符合设计要求的MRD。
关键词：MRD；液压冲击；遗传算法；电磁场仿真分析
中图分类号：TH137.5 文献标志码：A doi：10.3969/j.issn.1006-0316.2019.11.009
文章编号：1006－0316 (2019) 11－0052－06
Optimization of Magnetorheological Fluid Damper for Hydraulic Valves Based on Genetic Algorithm
YANG Zhichao，DENG Bin
( Advanced Drive Energy Saving Technology Ministry of Education Engineering Research Center, Southwest Jiaotong University, Chengdu 610031, China )
Abstract：In order to ensure that the magnetorheological fluid damper (MRD) for hydraulic valve can achieve the design goal of reducing and adjusting the hydraulic shock caused by the reversing valve when reversing, the structure of MRD is optimized according to its working conditions and design requirements. Firstly, use the genetic algorithm toolbox in MATLAB to optimize the damping gap width and effective damping channel length, which are the key structural parameters affecting the output damping force. Secondly, conduct the electromagnetic field simulation analysis on each MRD in Maxwell based on the optimized results. Thirdly, establish the damping force calculation model of each MRD in Simulink based on the results of the electromagnetic field simulation analysis. Finally, select the MRD which best meets the design requirements according to the calculation results.
Key words：MRD；hydraulic shock；genetic algorithm；electromagnetic field simulation analysis
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收稿日期：2019－04－18
作者简介：杨智超（1992－），男，河南周口人，硕士研究生，主要研究方向为机电液一体化。
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