基于离散时间增量表示的两轮乐高头脑风暴平衡控制

Georgiana Brăteanu-Ungureanu, Andrei Prepeliţă, C. Budaciu
{"title":"基于离散时间增量表示的两轮乐高头脑风暴平衡控制","authors":"Georgiana Brăteanu-Ungureanu, Andrei Prepeliţă, C. Budaciu","doi":"10.1109/ICSTCC.2017.8107033","DOIUrl":null,"url":null,"abstract":"Two wheel balancing robot referred as inverted pendulum is analyzed and implemented using Lego Mindstorms kit. The mathematical model was derived based on inverted pendulum equations with real parameters values appropriate to the real robot. The linearized state space mathematical model was converted into δ-domain counterpart due to the advantages of discrete time δ-operator in the context of finite word length representation. The most important factors which have a decisive importance are the sampling period and the numerical integration technique. LQR controller is proposed in order to stabilize the self-balancing two-wheeled robot. This control strategy optimally balances the error and control effort based on a cost function. Implementation of the constrained LQ on a real inexpensive hardware with very fast dynamic justifies this control approach and δ-domain discretization method which is numerically more stable.","PeriodicalId":374572,"journal":{"name":"2017 21st International Conference on System Theory, Control and Computing (ICSTCC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Two wheels lego mindstorms balancing control based on discrete time delta representation\",\"authors\":\"Georgiana Brăteanu-Ungureanu, Andrei Prepeliţă, C. Budaciu\",\"doi\":\"10.1109/ICSTCC.2017.8107033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two wheel balancing robot referred as inverted pendulum is analyzed and implemented using Lego Mindstorms kit. The mathematical model was derived based on inverted pendulum equations with real parameters values appropriate to the real robot. The linearized state space mathematical model was converted into δ-domain counterpart due to the advantages of discrete time δ-operator in the context of finite word length representation. The most important factors which have a decisive importance are the sampling period and the numerical integration technique. LQR controller is proposed in order to stabilize the self-balancing two-wheeled robot. This control strategy optimally balances the error and control effort based on a cost function. Implementation of the constrained LQ on a real inexpensive hardware with very fast dynamic justifies this control approach and δ-domain discretization method which is numerically more stable.\",\"PeriodicalId\":374572,\"journal\":{\"name\":\"2017 21st International Conference on System Theory, Control and Computing (ICSTCC)\",\"volume\":\"23 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 21st International Conference on System Theory, Control and Computing (ICSTCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSTCC.2017.8107033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 21st International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2017.8107033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

利用乐高Mindstorms工具包对倒立摆两轮平衡机器人进行了分析和实现。建立了与实际机器人相适应的具有实参数值的倒立摆方程的数学模型。利用离散时间δ算子在有限字长表示条件下的优势,将线性化状态空间数学模型转换为δ域数学模型。最重要的决定性因素是采样周期和数值积分技术。为了实现自平衡两轮机器人的稳定,提出了LQR控制器。该控制策略基于成本函数最优地平衡了误差和控制努力。在实际廉价的硬件上实现约束LQ,动态速度非常快,证明了这种控制方法和δ域离散化方法在数值上更稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Two wheels lego mindstorms balancing control based on discrete time delta representation
Two wheel balancing robot referred as inverted pendulum is analyzed and implemented using Lego Mindstorms kit. The mathematical model was derived based on inverted pendulum equations with real parameters values appropriate to the real robot. The linearized state space mathematical model was converted into δ-domain counterpart due to the advantages of discrete time δ-operator in the context of finite word length representation. The most important factors which have a decisive importance are the sampling period and the numerical integration technique. LQR controller is proposed in order to stabilize the self-balancing two-wheeled robot. This control strategy optimally balances the error and control effort based on a cost function. Implementation of the constrained LQ on a real inexpensive hardware with very fast dynamic justifies this control approach and δ-domain discretization method which is numerically more stable.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Qualitative case study methodology: Automatic design and correction of ceramic colors An overview of stability analysis of systems with delay dependent coefficients A delayed feedback controller for active vibration control: A rightmost-characteristic root assignment based approach Inertial-aided homography-based visual servo control of autonomous underwater vehicles without linear velocity measurements Robust MPC for networked control systems with data-packet dropouts modeled as disturbances
×
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