| 基于制动控制器的磁流变制动器性能 |
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| 引用本文： | 宋万里,王思元,胡志超,张萌.基于制动控制器的磁流变制动器性能[J].东北大学学报(自然科学版),2019,40(3):375-380. |
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| 作者姓名： | 宋万里 王思元 胡志超 张萌 |
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| 作者单位： | 东北大学 机械工程与自动化学院,辽宁 沈阳 110819;农业部南京农业机械化研究所, 江苏 南京 210014;东北大学 机械工程与自动化学院,辽宁 沈阳,110819;农业部南京农业机械化研究所,江苏 南京,210014 |
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| 基金项目： | 国家自然科学基金资助项目(51775101); 中央高校基本科研业务费专项资金资助项目(N170304017， N130303002); 中国博士后科学基金面上项目(2017M610181，2018M631800)． |
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| 摘 要： | 本文主要对基于制动控制器的磁流变制动器性能进行探究.对磁流变制动器进行结构设计和仿真优化，得出制动器的最优结构，并基于Arduino开发板与L9349功率驱动芯片设计了磁流变制动控制器.为探究基于制动控制器的制动器制动性能，分别进行了不同阶跃信号规律、正弦信号规律的制动力矩跟随实验和制动减速度实验.实验结果得出制动器的响应时间约在40ms，控制系统滞后时间约为70ms，制动力矩在跟随过程中滞后时间约为20ms，与液压制动系统相比具有较快的制动响应.本研究对磁流变制动器的发展和应用奠定了基础.
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| 关 键 词： | 磁流变制动器 结构优化 控制器 制动性能 响应时间 |
| 收稿时间： | 2017-12-25 |
| 修稿时间： | 2017-12-25 |
Performance of Magneto-Rheological Brake Based on Braking Controller |
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| SONG Wan-li,WANG Si-yuan,HU Zhi-chao,ZHANG Meng.Performance of Magneto-Rheological Brake Based on Braking Controller[J].Journal of Northeastern University(Natural Science),2019,40(3):375-380. |
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| Authors: | SONG Wan-li WANG Si-yuan HU Zhi-chao ZHANG Meng |
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| Institution: | 1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China; 2. Nanjing Research Institute for Agricultural Mechanization Ministry of Agriculture， Nanjing 210014， China. |
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| Abstract: | The braking performance of MRB(magneto-rheological brake)based on braking controller was mainly explored in this paper. The main research contents included design and structural optimization to obtain the optimum MRB. In order to study its braking performance，the MRB controller was designed based on the Arduino board and the L9349 power driver IC. Deceleration experiment and braking torque following experiment with different step signals and sine signal were carried out for exploring braking performance. The results indicate that the MRB′s response time is about 40ms，the delay time is about 70ms，and the lag braking time is about 20ms in the following process that was faster than that of the hydraulic braking system. This study may has great significance with laying a foundation for the development and application of MRB. |
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| Keywords: | magneto-rheological brake structural optimization controller braking performance response time |
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