• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

优化DC-DC升压变换器的控制策略:基于混合状态空间和线性参数变化建模的自适应增益调度ISA-PI控制器的实时应用。

Optimizing control strategies for DC-DC boost converters: Real-time application of an adaptive gain scheduled ISA-PI controller with hybrid state-space and linear parameter-varying modelling.

作者信息

Yanarateş Cağfer

机构信息

Department of Electrical and Energy, Kelkit Aydın Doğan Vocational School, Gümüşhane University, Gümüşhane, Turkey.

出版信息

PLoS One. 2025 Jul 9;20(7):e0325969. doi: 10.1371/journal.pone.0325969. eCollection 2025.

DOI:10.1371/journal.pone.0325969
PMID:40632793
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12240334/
Abstract

This paper introduces an innovative sophisticated control scheme for a DC-DC boost converter (DCBC), employing an adaptive gain scheduled ISA-PI controller. Addressing the inherent non-minimum phase behaviour arising from a right-half plane zero and the complexities associated with nonlinear dynamics during continuous conduction mode (CCM), the proposed adaptive gain scheduled ISA-PI controller incorporates the distinct adjustable parameter within the controller structure. This parameter is instrumental in enhancing the adaptability of the controller to varied operating conditions. The adaptive ISA-PI controller seamlessly integrates the real-time duty cycle value, replacing traditional tuning variables with precision. The dynamic adjustment of this sole controllable parameter is facilitated through a carefully designed look-up table, employing the loop-shaping method. Verification of the proposed control system's effectiveness is conducted using MATLAB/Simulink, incorporating a comprehensive comparative analysis against single proportional integral (PI) controllers. The assessment centres on evaluating the system's precision in tracking desired signals and regulating plant process variables with optimal efficiency, minimizing delays and overshoot. Experimental validation is further undertaken using MATLAB/Simulink/Stateflow on a dSPACE Real-time-interface (RTI) 1007 processor, DS2004 High-Speed A/D, and CP4002 Timing and Digital I/O boards. The experimental results confirm the superior performance of the proposed adaptive gain schedule ISA-PI controller, which has a unique configurable parameter. This controller demonstrated a twofold improvement in tracking speed and significantly improved disturbance rejection, confirming its effectiveness.

摘要

本文介绍了一种用于DC-DC升压转换器(DCBC)的创新型精密控制方案,采用了自适应增益调度ISA-PI控制器。针对由右半平面零点引起的固有非最小相位行为以及连续导通模式(CCM)期间与非线性动力学相关的复杂性,所提出的自适应增益调度ISA-PI控制器在控制器结构中纳入了独特的可调参数。该参数有助于提高控制器对不同运行条件的适应性。自适应ISA-PI控制器无缝集成了实时占空比值,精确地取代了传统的调谐变量。通过精心设计的查找表,采用回路成形方法实现了对这一唯一可控参数的动态调整。利用MATLAB/Simulink对所提出的控制系统的有效性进行了验证,并与单比例积分(PI)控制器进行了全面的对比分析。评估的重点是评估系统跟踪期望信号的精度以及以最佳效率调节工厂过程变量,最大限度地减少延迟和超调。进一步使用MATLAB/Simulink/Stateflow在dSPACE实时接口(RTI)1007处理器、DS2004高速A/D和CP4002定时与数字I/O板上进行了实验验证。实验结果证实了所提出的具有独特可配置参数的自适应增益调度ISA-PI控制器的卓越性能。该控制器在跟踪速度上提高了两倍,并显著改善了抗干扰能力,证实了其有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/a3fcebcea870/pone.0325969.g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/e0437ff95140/pone.0325969.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/f100324b86de/pone.0325969.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/57fe83d6b8ec/pone.0325969.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/95c342f8b5f1/pone.0325969.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/b728eccd0305/pone.0325969.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/973ba724f567/pone.0325969.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/d0cf94c3f85e/pone.0325969.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/9908c8de6f23/pone.0325969.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/f26b9a9f6e53/pone.0325969.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/b24f65d4304d/pone.0325969.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/e9aa606bb556/pone.0325969.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/6fa20f9ae84d/pone.0325969.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/9665d3397486/pone.0325969.g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/a2696f90dc04/pone.0325969.g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/a3fcebcea870/pone.0325969.g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/e0437ff95140/pone.0325969.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/f100324b86de/pone.0325969.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/57fe83d6b8ec/pone.0325969.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/95c342f8b5f1/pone.0325969.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/b728eccd0305/pone.0325969.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/973ba724f567/pone.0325969.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/d0cf94c3f85e/pone.0325969.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/9908c8de6f23/pone.0325969.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/f26b9a9f6e53/pone.0325969.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/b24f65d4304d/pone.0325969.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/e9aa606bb556/pone.0325969.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/6fa20f9ae84d/pone.0325969.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/9665d3397486/pone.0325969.g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/a2696f90dc04/pone.0325969.g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ec8/12240334/a3fcebcea870/pone.0325969.g015.jpg

相似文献

1
Optimizing control strategies for DC-DC boost converters: Real-time application of an adaptive gain scheduled ISA-PI controller with hybrid state-space and linear parameter-varying modelling.优化DC-DC升压变换器的控制策略:基于混合状态空间和线性参数变化建模的自适应增益调度ISA-PI控制器的实时应用。
PLoS One. 2025 Jul 9;20(7):e0325969. doi: 10.1371/journal.pone.0325969. eCollection 2025.
2
Design and performance evaluation of magnetic hyperthermia instrument with embedded PI control.具有嵌入式PI控制的磁热疗仪器的设计与性能评估
Electromagn Biol Med. 2025 Jun 29:1-15. doi: 10.1080/15368378.2025.2524547.
3
Hybrid fuzzy logic-PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems.基于元启发式优化的混合模糊逻辑-PI控制,用于提高高渗透率并网光伏系统的性能。
Sci Rep. 2025 Jul 9;15(1):24650. doi: 10.1038/s41598-025-09336-w.
4
Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.利用预后信息为乳腺癌患者选择辅助性全身治疗的成本效益
Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. doi: 10.3310/hta10340.
5
Enhancing MPPT optimization with hybrid predictive control and adaptive P&O for better efficiency and power quality in PV systems.采用混合预测控制和自适应扰动观察法增强最大功率点跟踪(MPPT)优化,以提高光伏系统的效率和电能质量。
Sci Rep. 2025 Jul 8;15(1):24559. doi: 10.1038/s41598-025-10335-0.
6
Research on nighttime IPPG algorithm based on ROI delay expansion and fundamental frequency constrained FastICA.基于感兴趣区域延迟扩展和基频约束快速独立成分分析的夜间容积脉搏波成像算法研究
Physiol Meas. 2025 Jun 27;46(6). doi: 10.1088/1361-6579/ade653.
7
Optimized frequency stabilization in hybrid renewable power grids with integrated energy storage systems using a modified fuzzy-TID controller.使用改进型模糊-TID控制器的集成储能系统在混合可再生能源电网中的优化频率稳定
Sci Rep. 2025 Jun 20;15(1):20095. doi: 10.1038/s41598-025-02011-0.
8
Management of urinary stones by experts in stone disease (ESD 2025).结石病专家对尿路结石的管理(2025年结石病专家共识)
Arch Ital Urol Androl. 2025 Jun 30;97(2):14085. doi: 10.4081/aiua.2025.14085.
9
Finite time disturbance observer-based adaptive composite control for disturbed unmanned helicopter.基于有限时间干扰观测器的受扰无人直升机自适应复合控制
ISA Trans. 2025 Aug;163:139-150. doi: 10.1016/j.isatra.2025.05.013. Epub 2025 May 11.
10
Introducing electric spring in the voltage frequency regulation of a multi area multi source integrated power system network.在多区域多源集成电力系统网络的电压频率调节中引入电力弹簧。
Sci Rep. 2025 Jul 1;15(1):22373. doi: 10.1038/s41598-025-05576-y.

本文引用的文献

1
An enhanced gain non-isolated quadratic boost DC-DC converter with continuous source current.一种具有连续源电流的增强型增益非隔离式二次升压 DC-DC 转换器。
PLoS One. 2023 Dec 7;18(12):e0293097. doi: 10.1371/journal.pone.0293097. eCollection 2023.
2
Performance analysis of PID controller and fuzzy logic controller for DC-DC boost converter.PID 控制器和模糊逻辑控制器在 DC-DC 升压转换器中的性能分析。
PLoS One. 2023 Oct 19;18(10):e0281122. doi: 10.1371/journal.pone.0281122. eCollection 2023.
3
Model predictive control of DC/DC boost converter with reinforcement learning.
基于强化学习的DC/DC升压变换器模型预测控制
Heliyon. 2022 Nov 5;8(11):e11416. doi: 10.1016/j.heliyon.2022.e11416. eCollection 2022 Nov.