Auto lead angle algorithm for high efficiency control of BLDC Motor

Byeong-Chan Jeon, Won-ki Park, Sung-Chul Lee, Hyun-chul Shin
{"title":"Auto lead angle algorithm for high efficiency control of BLDC Motor","authors":"Byeong-Chan Jeon, Won-ki Park, Sung-Chul Lee, Hyun-chul Shin","doi":"10.23919/ICCAS.2017.8204257","DOIUrl":null,"url":null,"abstract":"The Brushless DC motors are used in various industries such as home appliances, electric vehicles, Medical, Industrial automation equipment and so on. Because they have advantages of low noise, simple control and high power density. But, in a high-speed motor drive, current lagging which is induced by the impedance of the motor inductor reduces the motor efficiency. To solve this problem, we propose an auto lead angle control algorithm based on a gradient descent algorithm. With this algorithm, the motor current and motor Back-EMF have an identical phase angle. Thus, the efficiency of the motor can be increased. In order to verify the proposed algorithm, we implemented the hardware with FPGA and board including analog circuit. As a result, it was confirmed that the optimum lead angle was found with only one current value without various parameters, and the efficiency of the motor was improved. Also, it is confirmed that the efficiency is further increased at high load and high speed.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS.2017.8204257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The Brushless DC motors are used in various industries such as home appliances, electric vehicles, Medical, Industrial automation equipment and so on. Because they have advantages of low noise, simple control and high power density. But, in a high-speed motor drive, current lagging which is induced by the impedance of the motor inductor reduces the motor efficiency. To solve this problem, we propose an auto lead angle control algorithm based on a gradient descent algorithm. With this algorithm, the motor current and motor Back-EMF have an identical phase angle. Thus, the efficiency of the motor can be increased. In order to verify the proposed algorithm, we implemented the hardware with FPGA and board including analog circuit. As a result, it was confirmed that the optimum lead angle was found with only one current value without various parameters, and the efficiency of the motor was improved. Also, it is confirmed that the efficiency is further increased at high load and high speed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
无刷直流电机自动超前角算法的高效控制
无刷直流电动机应用于家电、电动汽车、医疗、工业自动化设备等各个行业。因为它们具有噪声低、控制简单、功率密度高的优点。但是,在高速电机驱动中,由于电机电感的阻抗引起的电流滞后降低了电机的效率。为了解决这一问题,我们提出了一种基于梯度下降算法的自动超前角控制算法。该算法使电机电流与电机反电动势具有相同的相位角。因此,电机的效率可以提高。为了验证所提出的算法,我们使用FPGA和包含模拟电路的电路板实现了硬件。结果表明,在不考虑各种参数的情况下,只需一个电流值即可找到最佳导角,从而提高了电机的效率。在高负荷、高速度下,进一步提高了效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effects of a soft wearable robotic suit on metabolic cost and gait characteristics in healthy young subjects Jumping pattern generation for one-legged jumping robot Radial basis function neural network based PID control for quad-rotor flying robot A study of eye contact for tabletop robot Multi-objective optimal operation with demand management and voltage stability
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1