柔性连杆机器人PI和模糊PID监控控制器的设计与实现

Mahshid Pourebrahim, M. Ayati, M. Mahjoob
{"title":"柔性连杆机器人PI和模糊PID监控控制器的设计与实现","authors":"Mahshid Pourebrahim, M. Ayati, M. Mahjoob","doi":"10.1109/CCSSE.2016.7784396","DOIUrl":null,"url":null,"abstract":"In this paper, PID controllers are designed to enhance the trajectory tracking performance of a flexible link robot. Firstly, a PI controller is used where conventional Ziegler-Nichols method adjusts the controller parameters. In addition, Fuzzy PID controller is designed in which fuzzy rules are utilized on-line to tune the PID controller parameters based on the current value of error and its first time-derivative. Also, effects of several defuzzification methods on the closed-loop system are investigated in this paper. A flexible link robot is implemented and controllers are applied. Experimental results confirm the performance of the fuzzy PID controller.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design and implementation of PI and fuzzy PID supervisory controllers for a flexible link robot\",\"authors\":\"Mahshid Pourebrahim, M. Ayati, M. Mahjoob\",\"doi\":\"10.1109/CCSSE.2016.7784396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, PID controllers are designed to enhance the trajectory tracking performance of a flexible link robot. Firstly, a PI controller is used where conventional Ziegler-Nichols method adjusts the controller parameters. In addition, Fuzzy PID controller is designed in which fuzzy rules are utilized on-line to tune the PID controller parameters based on the current value of error and its first time-derivative. Also, effects of several defuzzification methods on the closed-loop system are investigated in this paper. A flexible link robot is implemented and controllers are applied. Experimental results confirm the performance of the fuzzy PID controller.\",\"PeriodicalId\":136809,\"journal\":{\"name\":\"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSSE.2016.7784396\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSSE.2016.7784396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

为了提高柔性连杆机器人的轨迹跟踪性能,本文设计了PID控制器。首先,采用PI控制器,采用传统的齐格勒-尼科尔斯方法对控制器参数进行调整。此外,设计了模糊PID控制器,利用模糊规则根据误差的当前值及其一阶导数在线整定PID控制器参数。本文还研究了几种解模糊化方法对闭环系统的影响。实现了一种柔性连杆机器人,并应用了控制器。实验结果证实了模糊PID控制器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of PI and fuzzy PID supervisory controllers for a flexible link robot
In this paper, PID controllers are designed to enhance the trajectory tracking performance of a flexible link robot. Firstly, a PI controller is used where conventional Ziegler-Nichols method adjusts the controller parameters. In addition, Fuzzy PID controller is designed in which fuzzy rules are utilized on-line to tune the PID controller parameters based on the current value of error and its first time-derivative. Also, effects of several defuzzification methods on the closed-loop system are investigated in this paper. A flexible link robot is implemented and controllers are applied. Experimental results confirm the performance of the fuzzy PID controller.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信