Development of Kalman Filter Based Discrete PID Controller for DC-DC Converter

Aditi J. Fulari, V. Rajguru, S. Adhau
{"title":"Development of Kalman Filter Based Discrete PID Controller for DC-DC Converter","authors":"Aditi J. Fulari, V. Rajguru, S. Adhau","doi":"10.1109/ICETEMS56252.2022.10093457","DOIUrl":null,"url":null,"abstract":"In industrial settings, PID-Regler (Proportional Integral Derivative) most frequently utilised. to obtain the desired performance of the system. To get the PID controller’s ideal parameters, several tuning techniques have been devised. First PID is tuned with the Ziegler-Nichols method to obtain initial parameters and followed with an auto-tuning algorithm. However, the majority of PID auto-tuning techniques are created in ideal conditions. As a result, when noise is present, the control system will not operate at its best. Electrical movements, electronic components, or any other noise source may produce this noise.This work presents a self-tuning method based on the Kalman filter approach designed and put into practise on a DC-DC converter. The outcomes of the simulation show that the efficiency of the PID+ Kalman filter incorporated DC-DC converter is more optimal than the simple PID auto-tuning of the PID controller.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETEMS56252.2022.10093457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In industrial settings, PID-Regler (Proportional Integral Derivative) most frequently utilised. to obtain the desired performance of the system. To get the PID controller’s ideal parameters, several tuning techniques have been devised. First PID is tuned with the Ziegler-Nichols method to obtain initial parameters and followed with an auto-tuning algorithm. However, the majority of PID auto-tuning techniques are created in ideal conditions. As a result, when noise is present, the control system will not operate at its best. Electrical movements, electronic components, or any other noise source may produce this noise.This work presents a self-tuning method based on the Kalman filter approach designed and put into practise on a DC-DC converter. The outcomes of the simulation show that the efficiency of the PID+ Kalman filter incorporated DC-DC converter is more optimal than the simple PID auto-tuning of the PID controller.
基于卡尔曼滤波的DC-DC变换器离散PID控制器的研制
在工业环境中,PID-Regler(比例积分导数)是最常用的。以获得期望的系统性能。为了得到理想的PID控制器参数,设计了几种整定技术。首先采用Ziegler-Nichols方法对PID进行整定以获得初始参数,然后采用自整定算法。然而,大多数PID自整定技术都是在理想条件下创建的。因此,当噪声存在时,控制系统将不能以最佳状态运行。电气运动、电子元件或任何其他噪声源都可能产生这种噪音。本文提出了一种基于卡尔曼滤波的自整定方法,并在DC-DC变换器上进行了实践。仿真结果表明,结合DC-DC变换器的PID+卡尔曼滤波器比简单的PID自整定PID控制器的效率更优。
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 求助全文
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