作者：林砺宗, 徐亚军, 韩帅, 张昌宪, 张浩
作者单位：华东理工大学机械与动力工程学院, 上海 200237
关键词：力值控制;固高运动控制器;汽车尾门;脉冲力加载;疲劳试验
摘要：
为检测汽车尾门的出厂质量合格与否，开发一种基于VC++环境、固高科技运动控制器和伺服电缸系统的三工位汽车尾门疲劳测试系统，包括单步调试、试验参数设定、实时数据显示、查看历史数据等功能模块。在汽车尾门疲劳试验过程中，对模拟试验点加载脉冲力（短时间加载）来模拟尾门开关瞬间中造成的冲击力。为保证测试可靠性，整个控制系统采用全闭环力值控制系统。测试系统实现同时测试3台汽车尾门上的气撑点及锁扣点，提高测试效率。最后展示以VOLVO-K413为例的汽车尾门测试结果，分析在测试点处的力值、时间及位移之间的关系曲线图。数据表明：该系统测试精度、效率高，完全满足汽车尾门的测试要求，可应用于各种类型的汽车尾门的疲劳测试。
Development of the automobile tail gate's fatigue test machine system
LIN Lizong, XU Yajun, HAN Shuai, ZHANG Changxian, ZHANG Hao
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China
Abstract: To examine the quality of automobile tail gate before delivery, a three-position car tailgate fatigue test system based on VC++ platform, motion controllers of Googol Technology and the system of servo cylinder is introduced. To simulate the impact from the moment of opening and closing the door in the process of automobile tail gate fatigue test, it is required to exert pulse force to test points after a short time loading. In order to ensure reliability of the test, a full-closed loop strength control system is adopted. The system is able to test 3 automobile tail gates' latch points and gas spring points simultaneously, which greatly improves efficiency of the test. The system also comprises single-step debugging, parameters setting, real-time data displaying, historical data inquiry and other function modules. The paper takes VOLVO-K413 as an example to show the automobile tail gate test results and analyzes the graphs between force, time and displacement of test points. According to the data, the system's high test precision and efficiency fully meet the test requirements of car tail gate and is applicable to fatigue tests for various types of automobile tail gates.
Keywords: force control;motion controllers of Googol Technology;automobile tail gate;pulse force load;fatigue test
2017, 43(1): 59-63 收稿日期: 2016-03-11;收到修改稿日期: 2016-05-01
基金项目:
作者简介: 林砺宗(1961-),男,福建莆田市人,教授,研究方向为智能机器人、机电一体化等。
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