基于特征模型和模糊動態特征模型自適應控制方法的網絡控制系統

鄧建球; 李海軍; 胡松; 羅熊

doi:10.13374/j.issn1001-053x.2012.01.001

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驗證碼

基于特征模型和模糊動態特征模型自適應控制方法的網絡控制系統

doi: 10.13374/j.issn1001-053x.2012.01.001

鄧建球^1,2, ,,
李海軍²,
胡松³,
羅熊³

1. 清華大學計算機科學與技術系, 北京 100084;
2. 海軍航空工程學院, 煙臺 264001;
3. 北京科技大學計算機與通信工程學院, 北京 100083

基金項目:

中央高校基本科研業務費專項資金資助項目(FRF-TP-11-002B)

61074066

61174103)

國家自然科學基金資助項目(61004021

詳細信息

通訊作者:
鄧建球,E-mail:djq06@mails.tsinghua.edu.cn

中圖分類號: TP273
計量
- 文章訪問數: 250
- HTML全文瀏覽量: 87
- PDF下載量: 5
- 被引次數: 0
出版歷程
- 收稿日期: 2011-04-25
- 網絡出版日期: 2021-07-30

Networked control systems based on the adaptive control methods of characteristic modeling and fuzzy dynamic characteristic modeling

1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
2. Naval Aeronautical Engineering Institute, Yantai 264001, China;
3. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China

摘要

摘要: 針對網絡控制系統模型參數選取困難的問題,利用特征模型和動態特征模型的自適應控制方法在實際工程中建模簡單、控制精度較高的特點,以直流電機的網絡控制系統為例,研究了具有時延和數據丟包網絡情況下的網絡控制系統,提出了基于特征模型的自適應控制方法和基于模糊動態特征模型的自適應控制方法.仿真結果表明:丟包率對特征模型控制器系統的影響較大,而網絡延時對模糊動態特征模型控制器系統影響較大.所提兩種方法均可有效保證網絡控制系統的控制性能.
- 網絡控制系統 /
- 自適應控制 /
- 特征模型 /
- 模糊控制 /
- 直流電機
Abstract: It is very difficult to select appropriate networked control system parameters. The adaptive control methods of fuzzy dynamic characteristic modeling and characteristic modeling are easy to be used in engineering field, and they can ensure high precision control according to practical demands. The networked control performances of a DC motor control system with different time delays and packet drop ratios were researched, and the adaptive control methods based on characteristic modeling and fuzzy dynamic characteristic modeling were proposed for the control system. Simulation results show that packet drop ratio has a greater influence on the networked control system with characteristic modeling but time delay has a greater influence on the networked control system with fuzzy dynamic characteristic modeling. The proposed methods are effective to the networked control system with time delay and packet drop ratio.
- networked control systems(NCSs) /
- adaptive control /
- characteristic modeling /
- fuzzy control /
- DC motors