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一种新型最速控制技术:原理和应用

石上瑶 李军 刘兆华 刘家豪 陈鹏云

控制理论与应用2024,Vol.41Issue(8):1408-1416,9.
控制理论与应用2024,Vol.41Issue(8):1408-1416,9.DOI:10.7641/CTA.2024.30187

一种新型最速控制技术:原理和应用

A novel fastest control technology:principles and applications

石上瑶 1李军 2刘兆华 3刘家豪 4陈鹏云5

作者信息

  • 1. 中北大学软件学院,山西太原 030051
  • 2. 广东电网有限责任公司电力科学研究院,广东广州 510080
  • 3. 中北大学机械工程学院,山西太原 030051||山西电子科技学院信创产业学院,山西临汾 041000
  • 4. 中北大学机械工程学院,山西太原 030051
  • 5. 中北大学航空宇航学院,山西太原 030051
  • 折叠

摘要

Abstract

In the practical field of control engineering,the traditional proportional integral-differential(PID)control remains dominant.The first-order inertial filter(FOIF)serves as the foundation for the PID structure.The accelerated engineering fastest proportion-integration(AEFPI)controller is based on the accelerated engineering fastest tracking filter(AEFTF).However,there is a lack of comprehensive research and analysis on"AEFPI"controller.This paper found a pro-totype problem for FOIF,investigates and analyzes the mechanism and physical defects of the fastest tracking filter.It also explores its output tracking input characteristics in engineering reconstruction,its frequency domain filtering characteris-tics,and the control performance of the constructed accelerated engineering fastest proportional-integral controller.From a technical perspective,it is revealed that properties associated with low-pass filters play a decisive role in determining performance outcomes for this constructed controller.Through mathematical calculations,simulation experiments verifi-cation,and existing engineering practices,it has been proven that this accelerated engineering fastest proportional integral controller exhibits remarkable feedback control performance.

关键词

工程化重构问题/加速型工程最速跟踪滤波器/加速型工程最速比例-积分/新型最速控制技术/直角三角窗

Key words

engineering reconstruction problem/accelerated engineering fastest tracking filter/accelerated engineering fastest proportional-integral/novel fastest control technology/right triangle window

引用本文复制引用

石上瑶,李军,刘兆华,刘家豪,陈鹏云..一种新型最速控制技术:原理和应用[J].控制理论与应用,2024,41(8):1408-1416,9.

基金项目

国家自然科学基金项目(51909245,62003314),山西省重点研发计划项目(202202020101001),山西省基础研究计划项目(202103021224187,20210302124010,20210302123050)资助.Supported by the National Natural Science Foundation of China(51909245,62003314),the Key R&D Plan of Shanxi Province(202202020101001)and the Basic Research Programs of Shanxi Province(202103021224187,202103021240010,20210302123050). (51909245,62003314)

控制理论与应用

OA北大核心CSTPCD

1000-8152

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