Robust QFT-Based Control of the DC Motor Laboratory Model

被引：0

作者：

Capkova, Romana ^{[1
]}

Kozakova, Alena ^{[1
]}

Minar, Martin ^{[1
]}

Ondrejicka, Kristian ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Inst Automot Mechatron, Fac Elect Engn & Informat Technol, Bratislava, Slovakia

来源：

PROCEEDINGS OF THE 2020 30TH INTERNATIONAL CONFERENCE CYBERNETICS & INFORMATICS (K&I '20) | 2020年

关键词：

Arduino; DC motor; design laboratory plant; parametric uncertainty; PID; robustness; QFT;

D O I：

10.1109/ki48306.2020.9039892

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper deals with robust control design of an original laboratory DC motor plant. The DC motor laboratory plant is built based on Arduino UNO and Matlab - Simulink environment. Mathematical model of the laboratory plant was identified as an uncertain model. To design a robust PI(D) controller in the frequency domain, the Quantitative Feedback Theory (QFT) was used. The designed robust controller was successfully verified in experiments on the DC motor plant including reference and disturbance step changes within the specified uncertainty area.

引用

页数：6

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