| 磁流变阻尼器的自适应时滞补偿实时混合试验 |
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| 引用本文： | 王贞,王纯鹏,吴斌. 磁流变阻尼器的自适应时滞补偿实时混合试验[J]. 振动与冲击, 2019, 0(15): 190-195,201 |
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| 作者姓名： | 王贞 王纯鹏 吴斌 |
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| 作者单位： | 哈尔滨工业大学结构工程灾变与控制教育部重点实验室;哈尔滨工业大学土木工程智能防灾减灾工业和信息化部重点实验室;哈尔滨工业大学土木工程学院 |
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| 基金项目： | 国家重点研发计划(2016YFC0701106);青年科学基金(51408157);黑龙江省自然科学基金项目(LC201423);高等学校博士学科点专项基金(20132302110065);河北省交通运输厅科学技术项目计划(KT2) |
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| 摘 要： | 时滞及补偿问题是实时混合试验的核心问题。在磁流变阻尼器的实时混合试验系统中,磁流变阻尼器的强非线性导致加载系统时滞波动,适用于定时滞系统的常规时滞补偿方法的补偿效果不够理想。针对此类问题,采用基于模型参数识别的自适应时滞补偿方法开展实时混合试验。阐述了该方法的原理,并通过磁流变阻尼器实时混合试验的数值模拟及真实试验验证了方法的有效性。
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| 关 键 词： | 实时混合试验 时滞补偿 磁流变阻尼器 自适应 离散模型 |
Adaptive time delay compensation method for real-time hybrid tests of MR dampers |
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| WANG Zhen,WANG Chunpeng,WU Bin. Adaptive time delay compensation method for real-time hybrid tests of MR dampers[J]. Journal of Vibration and Shock, 2019, 0(15): 190-195,201 |
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| Authors: | WANG Zhen WANG Chunpeng WU Bin |
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| Affiliation: | (Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education,Harbin Institute of Technology,Harbin 150090,China;Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters,Ministry ofIndustry and Information Technology,Harbin Institute of Technology,Harbin 150090,China;School of Civil Engineering,Harbin Institute of Technology,Harbin 150090,China) |
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| Abstract: | Time delay and its compensation are key problems for real-time hybrid tests(RHT). In a RHT system of MR dampers, the strong nonlinearity of MR damper causes time delay fluctuation of its loading system, the compensation effect of conventional time delay compensation methods for constant time delay systems is not enough ideal. Here, to solve this problem, an adaptive time delay compensation method based on model parameter identification was used to conduct RHT. Firstly, the principle of this method was presented. Then, numerical simulation for RHT of MR dampers and actual tests were conducted to verify the effectiveness of the adaptive time delay compensation method. |
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| Keywords: | real-time hybrid test(RHT) time delay compensation magnetorheological(MR) damper adaptive discretized model |
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