机器人运动系统PID自整定模块

Huafei Xiao, Shaoping Wang
{"title":"机器人运动系统PID自整定模块","authors":"Huafei Xiao, Shaoping Wang","doi":"10.1109/ICIEA.2011.5975670","DOIUrl":null,"url":null,"abstract":"In order to make the movement of mobile robot more smoothly, this paper designs a Auto-tuning PID module for mobile robot motion system. Based on the systematic mathematical model, this paper presents a least-square real-time parameter estimation algorithm with forgetting factor and incremental PID controller algorithm, and provides PID parameters optimization algorithm for the minimization of objective function. The digital signal controller Microchip dsPIC30F4011 is chosen as the core of master control system to accomplish the design of system software and hardware. The results of spot test in mobile robot's platform indicates that self-tuning PID control system can real-time estimate the controlled object parameter, real-time set adjust the controller parameters, then adapt to controlled object variance. So the auto-tuning PID control module is robust with good performance and anti-disturbance capability.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"158 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Auto-tuning PID module of robot motion system\",\"authors\":\"Huafei Xiao, Shaoping Wang\",\"doi\":\"10.1109/ICIEA.2011.5975670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to make the movement of mobile robot more smoothly, this paper designs a Auto-tuning PID module for mobile robot motion system. Based on the systematic mathematical model, this paper presents a least-square real-time parameter estimation algorithm with forgetting factor and incremental PID controller algorithm, and provides PID parameters optimization algorithm for the minimization of objective function. The digital signal controller Microchip dsPIC30F4011 is chosen as the core of master control system to accomplish the design of system software and hardware. The results of spot test in mobile robot's platform indicates that self-tuning PID control system can real-time estimate the controlled object parameter, real-time set adjust the controller parameters, then adapt to controlled object variance. So the auto-tuning PID control module is robust with good performance and anti-disturbance capability.\",\"PeriodicalId\":304500,\"journal\":{\"name\":\"2011 6th IEEE Conference on Industrial Electronics and Applications\",\"volume\":\"158 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th IEEE Conference on Industrial Electronics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2011.5975670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2011.5975670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

为了使移动机器人的运动更加平稳,本文设计了移动机器人运动系统的自整定PID模块。在系统数学模型的基础上,提出了带遗忘因子的最小二乘实时参数估计算法和增量式PID控制器算法,并给出了目标函数最小化的PID参数优化算法。选用数字信号控制器dsPIC30F4011作为主控系统的核心,完成系统的软硬件设计。在移动机器人平台上的现场测试结果表明,自整定PID控制系统能够实时估计被控对象的参数,实时设定调整控制器参数,从而适应被控对象的变化。因此,自整定PID控制模块具有良好的鲁棒性和抗干扰能力。
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
Auto-tuning PID module of robot motion system
In order to make the movement of mobile robot more smoothly, this paper designs a Auto-tuning PID module for mobile robot motion system. Based on the systematic mathematical model, this paper presents a least-square real-time parameter estimation algorithm with forgetting factor and incremental PID controller algorithm, and provides PID parameters optimization algorithm for the minimization of objective function. The digital signal controller Microchip dsPIC30F4011 is chosen as the core of master control system to accomplish the design of system software and hardware. The results of spot test in mobile robot's platform indicates that self-tuning PID control system can real-time estimate the controlled object parameter, real-time set adjust the controller parameters, then adapt to controlled object variance. So the auto-tuning PID control module is robust with good performance and anti-disturbance capability.
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
The application of soft-switching and frequency synchronization technologies in electromagnetic heater design Modified nearest neighbor fuzzy classification algorithm for ship target recognition The HPCXFGA method of main navigation performance and structure characteristic of the high-speed monohull inland ship Transformerless high step-up DC-DC converter with Cockcroft-Walton voltage multiplier Area efficient system-on-programmable-chip design for a wireless touch-triggered machining probe
×
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