基于AMESim的变幅系统下落速度优化分析  

Optimization Analysis of Descent Speed in Variable Amplitude System Based on AMESim

作　　者：王建成 辛道银 向小强 姬盛飞 WANG Jiancheng;XIN Daoyin;XIANG Xiaoqiang;JI Shengfei(School of Intelligent Engineering,Jiangsu Vocational College of Information Technology,Wuxi Jiangsu 214153,China;School of Mechanical Technology,Wuxi Institute of Technology,Wuxi Jiangsu 214000,China;School of Mechanical and Electrical Engineering,China University of Mining and Technology,Xuzhou Jiangsu 221116,China)

机构地区：[1]江苏信息职业技术学院智能工程学院,江苏无锡214153 [2]无锡职业技术学院机械工程学院,江苏无锡214000 [3]中国矿业大学机电工程学院,江苏徐州221116

出　　处：《机床与液压》2025年第2期224-228,共5页Machine Tool & Hydraulics

摘　　要：针对起重机作业过程中存在的变幅下落作业效率低的问题,提出动力+重力下落的方式来优化变幅下落的时间。基于AMESim搭建变幅系统仿真模型,通过仿真模型分析变幅下落的过程;通过动力+重力下落的方式对变幅下落时间进行仿真分析,得到变幅系统在不同角度下下落速度的变化规律;最后,比较不同方式下变幅下落的时间,并通过某型号的起重机验证了所提方法的有效性。结果表明:与重力下落方式相比,所提方式在变幅角度60°~80°内,仿真和实验下落时间分别缩短了16、12.9 s,验证了该方法的有效性。文中所提方法在保证操控性能的同时可以有效提高起重机变幅下落的效率。In order to address the issue of low efficiency in the descent operation of the variable amplitude system during crane operations,a method of powered+gravity descent was proposed to optimize the descent time.A simulation model of the variable amplitude system was built using AMESim software,the descent process was analyzed through simulation models.The descent time of the variable amplitude system was analyzed by powered+gravity descent method,and the variation rules of descent speed at different angles were obtained.Finally,the descent times under different methods were compared,and experimental validation was conducted using a specific model of crane.The experimental results show that compared to the gravity descent method,the proposed method reduces the descent time by 16 s,12.9 s respectively under simulation and test within the range from 60°to 80°of variable amplitude angle,the effectiveness of the proposed method is confirmed.The proposed method can effectively improve the efficiency of the crane′s luffing descent while ensuring the controllability performance.

关 键 词：变幅系统 重力下落 动力下落 优化分析 

分 类 号：TH218[机械工程—机械制造及自动化]