System Identification of Fractional-Order For Non-Minimum-Phase and Non-Self-Balancing System

被引:0
|
作者
Tao, Mo [1 ]
Ke, Zhiwu [1 ]
Yu, Yagang [2 ]
机构
[1] Wuhan Second Ship Des & Res Inst, Sci & Tech Thermal Energy & Power Lab, Wuhan 43205, Hubei, Peoples R China
[2] Xian Aeronaut Comp Tech Res Inst, Minist Sci & Technol, Xian 710065, Shaanxi, Peoples R China
关键词
Steam generator; Non-Self-Balancing; non-minimum-phase; system identification; fractional order;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The steam generator is one of the most essential equipment of the nuclear power device which takes part in heat exchanging. The water level system of a steam generator has the peculiarities of apparent nonlinearity, large inertia and time-delaying. Furthermore, the water level of a steam generator has a direct impact on the quality of the outlet steam and the security of the system. Thus, it is significant and necessary to maintain the water level within a safety limit. the mathematical model of the steam generator, which is difficult to be described with integer order, can be established relatively clearly and precisely by using the fractional order calculus. With the progress of the modern technology, the merits of using a fractional order model become increasingly obvious due to its good performance in describing the actual plants and the dynamic process. This paper proposes a fractional order system identification method which can identify the model parameters concisely. This method is simple to be realized and also has a good adaptability to the initial value. The proposed fractional order identification scheme provides a new method of the important equipment modeling in nuclear power plant. The model that established by this method can provide research basis and technical support of the high precision and performance index control system.
引用
收藏
页码:758 / 763
页数:6
相关论文
共 50 条
  • [1] The Cloud Model Theory of Intelligent Control Method for Non-Minimum-Phase and Non-Self-Balancing System in Nuclear Power
    Tao, Mo
    Qu, Ruotong
    Ke, Zhiwu
    Chen, Zhaoxu
    Li, Xianling
    Feng, Yi
    PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, 2018, VOL 1, 2018,
  • [2] The Research of Robust Fault Tolerant Control Method for Non-Minimum-Phase and Non-Self- Balancing System
    Tao, Mo
    Wang, Shaoping
    Qiu, Zhigiang
    Ke, Zhiwu
    Li, Xianling
    Feng, Yi
    Wang, Xingjian
    PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019), 2019, : 117 - 121
  • [3] Robust Adaptive Control for Uncertain Nonlinear Non-minimum-Phase System
    Chen, Liangui
    Wu, Guangliang
    Yang, Weidong
    Yang, Binhu
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5545 - +
  • [4] BLENDING OF UNCERTAIN NON-MINIMUM-PHASE PLANTS FOR ELIMINATION OR REDUCTION OF NON-MINIMUM-PHASE PROPERTY
    HOROWITZ, I
    GERA, A
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1979, 10 (09) : 1007 - 1024
  • [5] IMC Based Fractional order Controller for Non-Minimum Phase System
    Nasir, Abdul Wahid
    Singh, Arun Kumar
    2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
  • [6] Identification of a Non-Commensurate Fractional-Order Nonlinear System Based on the Separation Scheme
    Wang, Junwei
    Xiong, Weili
    Ding, Feng
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2025, 39 (01) : 116 - 131
  • [7] NON-MINIMUM-PHASE MICROWAVE FILTERS
    FJALLBRA.TT
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 1968, MT16 (12) : 990 - &
  • [8] Crises in a non-autonomous fractional-order Duffing system
    Liu Xiao-Jun
    Hong Ling
    Jiang Jun
    ACTA PHYSICA SINICA, 2016, 65 (18)
  • [9] Design and analysis of a multivariable fractional order controller for a non-minimum phase system
    Muresan, Cristina I.
    Dulf, Eva H.
    Copot, Cosmin
    De Keyser, Robin
    Ionescu, Clara
    JOURNAL OF VIBRATION AND CONTROL, 2016, 22 (09) : 2187 - 2195
  • [10] Fractional-order Iterative Learning Control and Identification for Fractional-order Hammerstein System
    Li, Yan
    Zhai, Lun
    Chen, YangQuan
    Ahn, Hyo-Sung
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 840 - 845